Human factors scientist jobs near me - 30 jobs

The experienced Risk Assessment Scientist will work with Leidos Project Managers and Senior Staff and interface with multiple Leidos offices. The Risk Assessment Scientist should be comfortable working in a team environment, and demonstrate excellent written and strong verbal communication, as well as organizational skills. Frequent collaboration with the project manager and project team members is expected. The successful candidate will be dedicated to working full-time in support of document preparations and will be an initiative-focused, goals-oriented individual, requiring some supervisory oversight to start. This position is flexible regarding work location (on-site Leidos office locations in Reston, VA; Twinsburg, OH; or St. Louis, MO or remote location). Must be able to obtain access to, and conduct work on, U.S. Government installations. U.S. Citizenship or U.S. Permanent Resident status is required. The salary range for this role is anticipated to be between $85,000 and $120,000 annually. The Challenge: Take the lead and assist in conducting human health risk assessments, including development of conceptual site models, selection of appropriate toxicity values, calculation of cancer risks and noncancer hazards, and analysis of uncertainties associated with the risk evaluations. Author risk-related sections of technical reports, including work plans/sampling plans, human health risk assessments, remedial investigation (RI) reports, feasibility studies (FS), proposed plans (PP), and records of decision (ROD). May assist in conducting ecological risk assessments. Provide technical support in evaluating and interpreting quantitative and qualitative environmental sampling data acquired during site investigations. Willing and able to work on a variety of risk assessment- and non-risk assessment-related tasks. Willing and able to travel periodically to Leidos offices and/or project locations. Must be able to obtain access to, and conduct work on, U.S. Government installations. U.S. Citizenship or U.S. Permanent Resident status is required. Required Education and Experience: BS or MS degree in Environmental Sciences, Earth Sciences, Biological Sciences, Chemistry, Toxicology, Ecology, or related scientific field with 4+ (BS) or 2+ years (MS) of professional experience in the performance of human health risk assessments of exposures to chemicals in environmental media. Strong working knowledge of EPA human health risk assessment guidance and methods within the framework of the CERCLA RI/FS/PP/ROD process. Experience calculating human health cancer/noncancer risks and risk-based screening levels using spreadsheets and online calculators. Authors human health risk-related text including methodology, reporting, and interpretation of calculated risks. Ability to compile, manage, and interpret environmental investigation and monitoring data for organic and inorganic chemical parameters. Working knowledge of environmental statistical methods (e.g., calculation of UCLs, trend analysis) and experience with statistical software tools (e.g., EPA ProUCL, SAS, etc.). Understanding of data validation qualifiers indicating usability. Some experience working with federal environmental regulators. Proficiency in MS Office tools (Excel, Word, Outlook, PowerPoint). Desired Qualifications: Knowledge and experience with data and/or risk analyses of per- and polyfluoroalkyl substances (PFAS). Experience working with radiological data, as well as human health radiological risk and dose assessments in accordance with the EPA, DOE, and NRC regulatory framework. Working knowledge of EPA ecological risk assessment guidance and professional experience in conducting ecological risk assessments. RCRA and CERCLA process documents knowledge (Corrective Action Plans/Reports; RI/FS/PP/ROD). Professional experience working on federal contracts is preferred. Professional experience working with state regulators. Doctoral degree with professional experience conducting human health risk assessments. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 21, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $73,450.00 - $132,775.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace. The Difference You Will Make: As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals. This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app. The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love. A Typical Day: Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets. Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions. Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact. Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables. If you're passionate about going deep into personalized user experiences, we want to hear from you! Your Expertise: Causal inference expertise with marketplace experience Preferred domain experience in search, UX discovery, personalized evidence systems Advanced degree in Computer Science, Statistics, Econometrics or related field. 9+ years of industry experience with a PhD (or 12+ years with a Masters) Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience. Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner's mindset towards LLMs and dynamic systems. Proven ability to succeed in both collaborative and independent work environments Demonstrated willingness and track record of engagement with the technical community Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$224,000-$280,000 USD

be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications Minimum 6 years of experience with building optimization algorithms or relevant experience. Advanced proficiency in programming languages such as Python, R, SQL, and Java. Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. In-depth experience with data science cloud platforms and their integration into business solutions. Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. Deep understanding and application of statistical analysis and advanced machine learning techniques. Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms) Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. Experience with Vector Databases and embeddings. Experience with Model Fine-tuning. Experience with GPU optimization. Preferred Qualifications Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus. Knowledge of geospatial analytics, route optimization, and GIS concepts. Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. At BNSF, you will have access to a comprehensive and competitive benefits package including: An industry-leading 401(k) and renowned Railroad Retirement program. A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). Access to discounts on travel, gym memberships, counseling services and wellness support. Annual bonus (Incentive Compensation Program) Generous leave / time off policies. For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Want to learn more about our Data Science Team: *********************************************************************** Learn more about our team culture here: *********************************************** Watch our talk at Amazon Tech Talks: ******************************************* StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position. What you'll be doing: Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise. Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems. Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights. What you'll bring to the table: 3+ years of industry experience Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps Have a comprehensive understanding of statistics, optimization and machine learning Are proficient in coding, data structures, and algorithms Enjoy working in a friendly, collaborative environment with others StackAdapter's Enjoy: Highly competitive salary Retirement/ 401K/ Pension Savings globally Competitive Paid time off packages including birthday's off! Access to a comprehensive mental health care program Health benefits from day one of employment Work from home reimbursements Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto Robust training and onboarding program Coverage and support of personal development initiatives (conferences, courses, books etc) Access to StackAdapt programmatic courses and certifications to support continuous learning An awesome parental leave program A friendly, welcoming, and supportive culture Our social and team events! StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising #LI-REMOTE

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments. What You'll Do * Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners * Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience * Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure * Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact * Set and maintain the highest methodological standards for Data Science across the company * Solve problems that have no clear existing solution and directly impact our customers Requirements * A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred * 8+ years of hands-on experience in machine learning, data science, or advanced analytics * Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques * Strong problem-solving abilities, attention to detail, and a data-driven mindset * Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences * Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.) * Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 3.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Job Description About us Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. You will master the whole pipeline, from training models to putting them into production and monitoring their performance. You will work on new features, new applications, and some 0→1 solutions. You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. You have a deep experience with diffusion models, for image creation or edition**.** You've trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. You are always the most pragmatic person in the room. You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. You have experience working on products requiring complex architectures. You have a strong sense of ownership. You take initiative and you are at ease to make product & technical decisions. You have worked as part of a talented team and have experience in a fast-growing startup. You're curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. You are fluent in English (French is not required!). ✨ Hiring Process ✨ Screening call with our Head of AI Home technical assignment, reviewed with the team Culture fit interview and meet the team! Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Employment Type: Contract Duration: 1+ years with likely extensions and/or conversion to permanent Pay Rate: $70-80/hr W2 with benefits, or open to market rate DOE. Note: This can be fully remote but local to Thousand Oaks, Ca is preferred. 3 Key Consulting is hiring a Human Factors Engineer for a consulting engagement with our direct client, a leading global biopharmaceutical company. Ideal Candidate: 7-10 years of practical human factors experience in medical devices or combination products. Hands-on implementation experience required. Nice to Have: Experience with auto-injectors, human factors validation, and engagement with the FDA or global regulatory bodies. Job Description: Seeking a results-driven and experienced Human Factors / Usability Engineer (HF/UE) contractor to support the Human Factors Engineering (HFE) team within the broader Combination Product Optimization (CPO) function. This role is critical in ensuring company drug delivery systems and combination products meet the highest standards of usability, safety, and regulatory compliance. This individual contributor will play a hands-on role across the product lifecycle, from early-stage user research through design input, usability testing, and preparation for FDA and global regulatory submissions. The ideal candidate will thrive in a fast-paced, matrixed environment and bring deep domain expertise in medical devices, combination products, and FDA-regulated usability engineering. Responsibilities: Human-Centered Design Integration: Partner cross-functionally with engineering, design, commercial, clinical, regulatory, and quality teams to translate user needs into product design, including user interface (UI) requirements, labeling, packaging, and instructions for use. Usability Research Execution: Lead or support usability activities such as study design, protocol development, IRB submission, participant recruitment, data collection, moderation, analysis, and reporting for formative and summative studies. Use Risk Mitigation: Conduct comprehensive task analyses, root cause investigations, and use-related risk analyses to inform product design and identify use-related risks. Cross-Functional Influence: Serve as a key liaison between HFE and program team functional stakeholders to ensure human capabilities and limitations are reflected in product architecture and usability requirements, and human factors activities are considered at all stages of the product design lifecycle. Regulatory Readiness: Support the creation of HF documentation for regulatory submissions including HFE protocols/reports, URRAs, and other components of the overall HF File, all in accordance with global standards and FDA guidance. Stakeholder Engagement: Actively communicate and align with internal and external stakeholders to ensure user-centric solutions are embedded across development programs. Top Must Have Skills: Human Factors Engineering Data Analysis Technical Writing Preferred Qualifications: Advanced degree in Human Factors or Usability Engineering Deep knowledge of applicable global guidance and standards: FDA: 21 CFR Parts 4, 820, 210/211, Human Factors Guidance, relevant device labeling standards IEC/ISO: 62366, 14971, 13485 Other: HE:75, EU MDR Annex 1, additional relevant international device labeling and usability engineering standards Proven track record supporting both formative and summative usability studies for combination products and injectors (e.g., pens, autoinjectors, on-body delivery systems) Experience with early concept evaluations, use-risk analyses, and iterative design refinement Demonstrated ability to influence technical design decisions with a deep understanding of user behavior and cognitive workload Technical fluency across disciplines-capable of translating human factors insights for engineering, clinical, software, and regulatory audiences Experience contributing to HF sections of FDA pre-submissions, IND/IDE, NDA, BLA, and global regulatory dossiers Strong communication, critical thinking, and problem-solving skills in a collaborative environment Able to manage ambiguity, prioritize competing deadlines, and drive user-centered design in a global organization Red Flags: No experience in human factors engineering in the medical device or combination product space. Less than 5 years of relevant experience No direct human factors hands on experience Interview process: 2 rounds of interviews We invite qualified candidates to send your resume to **************************. If you decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our website ******************************* You are also welcome to share this opportunity with anyone you think might be interested in applying for this role. Regards, 3KC Talent Acquisition Team

What we're building and why we're building it. Every month, millions of people use America's Rewards App, earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we've delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users. It's not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don't need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what's next, with us. Ranked as one of America's Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Fetch is an equal employment opportunity employer. About the role: Fetch is at a critical inflection point in how data and science inform the company's most important decisions. With millions of monthly active users, rich item-level purchase data, and increasing investment in AI-driven products like FetchGPT, Fetch has an opportunity to establish a rigorous, scalable measurement and causal reasoning foundation that powers pricing, incentives, growth, marketing investment, and financial planning. We are seeking a Staff Data Scientist to serve as the company-wide scientific and measurement leader. This role goes beyond traditional analytics or domain ownership. You will define how Fetch measures value, reasons about causality, and translates evidence into executive decisions. You will own core measurement frameworks, architect semantic and metric foundations, and set the scientific quality bar across analytics, experimentation, and strategic modeling. Within your first year, you will define Fetch's MAU × ARPU measurement operating system, establish canonical metrics and semantic standards powering FetchGPT and executive reporting, and deliver strategic models such as marketing mix, elasticity, and incentive sensitivity that directly inform leadership decisions. What You'll Do at Fetch: Define and own Fetch's company-level measurement framework anchored in MAU × ARPU. Company Measurement and Causal Strategy. Establish decision frameworks for pricing, incentives, and value trade-offs. Set standards for evidence quality, uncertainty, and confidence in decision-making. Define the causal reasoning model used across product, growth, marketing, and finance. Own the scientific capability roadmap including elasticity, value curves, MMM, and forecasting. Semantic and Data Architecture Architect the semantic mart and metric logic powering FetchGPT and scalable insights. Define canonical metric definitions and unify logic across experimentation platforms, dashboards, and diagnostics. Partner with Analytics Engineering and Data Platform to build foundational data assets. Establish BI standards and eliminate redundant or conflicting dashboards. Scientific Governance and Experimentation Serve as the quality bar for high-impact analytics and diagnostics. Review strategic analyses to ensure correct interpretation and mechanism alignment. Set scientific rules for experimentation and validate high-risk tests such as pricing and incentives. Ensure observational and experimental results reconcile cleanly. Create templates and interpretation guides to standardize rigor. Strategic Modeling Ownership Own cross-company models that drive executive decisions, including marketing mix modeling, elasticity and incentive sensitivity, value expectation curves, strategic forecasting, and financial mechanism models supporting MAU × ARPU planning. Org-Wide Scientific Leadership Raise the scientific maturity of the data science and analytics organization. Design upskilling programs in statistics, causality, modeling, and storytelling. Author best-practice modeling libraries and documentation. Serve as a technical anchor and thought partner for senior ICs across the org. Establish norms for rigorous, transparent, mechanism-driven insights. Technical Excellence Apply advanced statistical and causal methods to company-level problems. Build scalable, production-ready analytical frameworks in partnership with engineering. Champion best practices in experimentation design, model validation, and reproducibility. Leverage modern analytics tooling such as Python, SQL, Snowflake, dbt, and experimentation platforms. Minimum Qualifications 8+ years of experience in data science, economics, statistics, or applied research, including experience operating at Staff or Principal scope on company and/or org-level problems. Deep expertise in causal inference, experimental design, and observational analysis, with demonstrated ownership of high-stakes business decisions informed by causal evidence. Experience defining and owning company-level measurement frameworks, canonical metrics, or strategic models used by senior leadership. Proven ability to influence and support executive decision-making, including presenting trade-offs, uncertainty, and recommendations that directly impact strategy. Exceptional written and verbal communication skills, with the ability to explain complex causal and modeling concepts to non-technical senior audiences. Bachelor's degree in a quantitative field. Preferred Qualifications Advanced degree in a quantitative discipline. Hands-on experience owning and maintaining strategic models such as marketing mix models, elasticity estimates, incentive sensitivity, or long-range forecasts used in executive planning. Experience in large-scale consumer products, marketplaces, ad-supported platforms, or incentive-driven systems with complex value trade-offs. Experience defining semantic layers, metric governance, or data contracts at scale across multiple teams or functions. Demonstrated track record of org-wide scientific leadership without direct people management, including setting standards, reviewing work, and raising the technical bar across teams. This is a full-time role that can be held from one of our US offices or remotely in the United States. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at ************************** At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch's growth. 401k Match: Dollar-for-dollar match up to 4%. Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets. Continuing Education: Fetch provides ten thousand per year in education reimbursement. Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership. Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People's Day, as well as our year-end week-long break. Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more! Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We'll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com. Learn more: Fetch Recruitment Scam Warning.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Position Title: Design + Human Factors Engineering Senior Director -DDCS Department Name: Delivery, Device and Connected Solutions Purpose: In 1992, Eli Lilly and Company established the Delivery Device business to create, develop, launch and continuously improve proprietary delivery device systems. This business is unique to the broader Lilly Research Labs organization due to its focus on patient-centered delivery system solutions, its innovative approach to delivery platforms utilizing both internal and external technologies, and its level of integration with the commercial groups and Business Units. The Delivery, Device and Connected Solutions (DDCS) organization leverages many alliances in design and manufacturing to rapidly convert proprietary product concepts into products that meet the users' needs and intended uses. This business enables over $30 billion in pharmaceutical sales and is projected to drive company growth in the coming years. In response to this growing portfolio and increasing global regulatory expectations, the DDCS organization requires a Design and Human Factors Engineering Senior Director to provide leadership to support product innovation and product development for delivery and device systems at Eli Lilly and Company. This position is responsible for providing strategic direction, execution and reporting of design and human factors activities across all medical device, combination product and packaging programs, according to current regulations and appropriate guidelines within the medical device and biopharmaceutical industries. Position responsibilities: Design and Human Factors: Lead and grow a top-tier engineering and science organization, which includes expertise in design and human factors engineering that is applied across the portfolio. Ensures that: Human capabilities and limitations are adequately reflected in the system requirements Human performance characteristics and their associated cost, benefits, and risks assist in deciding among alternatives (especially since lifecycle operation and support costs are often largely dependent upon personnel-related costs) Human performance and safety risks are appropriately addressed in planning. The staff is highly trained in Human Factors processes, relevant standards (IEC 62366, ANSI/AAMI HE75) and FDA guidance. Human Factors Standards are appropriately documented in the Design Control Quality System. Project milestones are met by identifying and managing risks and escalating as appropriate. Functional budgets and project forecasts are maintained in compliance with P&L People: Responsible for developing and managing the Design + Human Factors Engineering team. Provides leadership, feedback, coaching, performance and career development support to direct reports. Ensures career development discussions, talent assessment, and succession planning are in place for employees. Builds and executes a comprehensive long-range recruiting strategy and technical succession plan to maintain a highly competitive cross-functional technical organization. Strategy / Corporate Integration: Given the anticipated growth in the delivery business both in terms of the existing base of business and future ventures, the Design & Human Factors Engineering Senior Director will be accountable for the execution of a Delivery and Device Strategy with other members of the management team. The delivery strategy and project workload are closely linked to that of the Business Units, Sales Affiliates, Medical, Manufacturing and Marketing. The position would work closely with the above groups to consistently align the strategies and projects. Partner with Regulatory to serve as an opinion leader in the drug delivery device and pharma industry on human factors and help draft policy positions across Lilly and the industry Relationship Management: Ensure compliance with external collaborations Create and maintain effective relationships and alignment with Lilly partners external to DDCS (e.g. Quality, Manufacturing, Regulatory, Digital Health, Business Units) Build strong relationships with external vendors and lead external collaboration efforts to support development strategies as they may evolve Minimum requirements: MS in Engineering with 10+ years or PhD in Engineering with 5+ years of delivery device design and development experience. Experience with regulatory agencies interactions and/or regulatory submissions of delivery devices and combination products. Experience working within a Sponsor organization Working knowledge of HF regulatory requirements, protocols, IRBs, Usability studies and reporting. Human subjects research bioethics and study design Prior supervisory experience of team organization Ability to work effectively across boundaries Demonstrated quality mindset, ability to influence and leadership capabilities Additional Skills and Preferences: Understanding of and experience with device/drug regulations, standards and guidances as they pertain to specific functional responsibilities (e.g. CFR 820.30, ISO 13485, ISO 14971, IEC 62366, ANSI/AAMI HE75) Business skills (capital and expense differentiation and impact on COGS and variance). Communication and interpersonal skills necessary for broad interactions at all levels of the corporation. Broad integrated technical knowledge of system and design engineering, product development, and commercialization (device, container closure, packaging, etc.). Experience working in a diverse networked technical organization with proven skills in managing suppliers and alliance partners. Leadership skills with previous experience managing technical personnel and alliance partnerships Demonstrated ability to lead cross-functional teams Additional Information Position Location: Indianapolis, IN Ability to travel ~10-20% of the time, both domestic and international Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $163,500 - $264,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: The Data Science and Biostatistics team is at the heart of turning complex clinical data into insights that help bring life-changing technology to patients. As a Sr Staff Data Scientist, you'll collaborate with an exceptional, multidisciplinary group of Biostatisticians, Data Scientists, Statistical Programmers, Clinical Data Managers, and Medical Writers to solve meaningful, real-world problems. This is a fast-paced, highly collaborative environment built for curious, driven individuals who want their work to directly influence innovative medical technology-and ultimately improve lives. Where you come in: You contribute to the development and continuous improvement of data infrastructure for clinical studies and real-world data sources (e.g., EHR), and you lead the research, prototyping, and development of machine learning and AI models aligned to business needs. You lead statistical analysis planning and execution for clinical studies, including study and endpoint design, sample size and power calculations, and the creation and review of statistical analysis plans. You oversee the production and review of tables, figures, and listings, interpret results, and proactively address limitations in study design or statistical methods. You review and provide input on clinical protocols and CRFs, ensuring overall data integrity and high-quality statistical analyses that support abstracts and peer-reviewed manuscripts. You leverage scientific literature as a research methodology to inform data science approaches, statistical method development, and analyses for clinical studies and real-world evidence. You guide and support junior data scientists and biostatisticians through mentorship, collaborative problem-solving, and knowledge sharing. You provide statistical consultation and thought leadership to cross-functional partners in R&D, engineering, marketing, manufacturing, medical science, and with external collaborators. What makes you successful: You bring strong proficiency in statistical methods, applications, and programming, with experience applying complex statistical techniques to real-world problems. You think strategically and can evaluate and apply the most appropriate analytical or modeling approaches to solve ambiguous and challenging business questions. You are able to work independently and lead clinical data science or biostatistics project teams with minimal oversight, driving work forward from concept through delivery. You have extensive knowledge of advanced data science methods and experience exploring and applying AI/ML techniques to create meaningful business impact. You have a strong working knowledge and hands-on programming experience with SAS, R, and SQL; familiarity with additional languages such as Python is a strong plus. Your excellent communication and collaboration skills enable you to clearly explain complex analyses and insights to both technical and non-technical stakeholders. What you'll get: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. A full and comprehensive benefits program. Growth opportunities on a global scale. Access to career development through in-house learning programs and/or qualified tuition reimbursement. An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 5-15% Experience and Education Requirements: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8 - 12 years related experience or Master's degree and 5 - 7 years equivalent industry experience or a PhD and 2 -4 years of experience. Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $164,200.00 - $273,600.00

Aptive seeks an Expert Human Factors Engineer to support the Veterans Health Administration (VHA). This is a pivotal role requiring a profound comprehension of research and industry trends, with the ability to translate this knowledge into actionable strategies, evaluations, and designs. This position demands expertise in applying state-of-the-art findings and methods to assess products and processes, ensuring optimal usability and performance for all end users. The Expert Human Factors Engineer plays a vital role in ensuring that products and processes within the Veterans Health Administration meet the highest standards of usability, accessibility, and user satisfaction. If you are passionate about leveraging human factors engineering to improve the lives of veterans and their caregivers, we encourage you to apply for this impactful position. Primary Responsibilities Research and Analysis: Stay abreast of the latest advancements in human factors engineering, incorporating cutting-edge research and industry best practices into product evaluations and design strategies. Usability Assessments: Conduct thorough evaluations of products and processes, identifying areas for improvement and suggesting redesigns or mitigations to minimize negative impacts on users. User-Centric Design: Visualize and anticipate the effects of design changes on diverse user groups, ensuring inclusivity and accessibility in all aspects of product development. Live Demo Support: Provide expert guidance and make thoughtful suggestions during live demo calls, reacting adeptly to participant feedback and insights during user sessions. Communication and Collaboration: Effectively communicate human factor issues to engineering teams and end users, both formally and informally, fostering collaboration and understanding across all stakeholders. Compliance and Standards: Maintain a thorough understanding of relevant standards and human factors engineering methods, ensuring adherence to regulatory requirements and industry best practices. Agile Methodologies: Demonstrate proficiency in SAFe's Lean Agile principles and practices, driving value and operational excellence through the empowerment of high-performing Agile teams. Minimum Qualifications Doctorate Degree in Human Factors Engineering, Industrial Engineering, Psychology, or a related field. Minimum of 12 years of experience in human factors engineering or a closely related field, with a focus on product design and usability assessments Deep understanding of human factors engineering principles, research methodologies, and usability standards. Exceptional verbal and written communication skills, with the ability to articulate complex human factor concepts to diverse audiences. Experience with SAFe's Lean Agile principles and practices, with a demonstrated ability to drive organizational change and foster operational excellence through Agile methodologies. Desired Qualifications PMP Certification Experience supporting the VA or VHA highly desired About Aptive Aptive is a modern federal consulting firm focused on human experience, digital services, and business transformation. We harness creativity, technology, and culture to connect people and systems to impact the world. We're advisors, strategists, and engineers focused on people, above all else. We believe in generating success collaboratively, leaving client organizations stronger after every engagement and building trust for the next big challenge. Our work inspires people, fuels change and makes an impact. Join our team to be part of positive change in your community and our nation. EEO Statement Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Medium's mission is to deepen understanding of the world and spread ideas that matter. We are building the best place for reading and writing on the internet-a place where today's smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. Role Overview One of Medium's core operating principles is “humans first,” but sometimes to do that we need a little help from machine learning-which is why Medium is looking for an experienced Staff Applied ML Scientist to join our team. First and foremost, you'll own Medium's recommendation systems, which serves millions of readers every day by parsing through an ocean of posts and curating perfect literary pearls for each of them. Under the hood, it's a sophisticated and modern ML pipeline, fueled by a two-tower model and separate deep retrieval and ranking stages. Beyond recommendations, you'll also develop ML models to protect our readers from the burgeoning world of AI slop and spam, explore and evangelize new applications for machine learning across Medium's business, and leverage machine learning to ensure that Medium always puts humans first. Key Responsibilities You'll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them. You'll look for places where ML can make the reading and writing experience more personal, relevant, and human. Experiment with ideas like smarter post discovery that helps writers find their natural audience. Explore opportunities for personalization, quality detection, topic modeling, or even AI-assisted editorial curation - all grounded in improving understanding, not chasing engagement for its own sake. Work closely with design, product, and engineering partners to translate ambiguous user needs into well-framed ML problems. Drive the research. Lead with curiosity and precision. You'll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking. Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side. You'll regularly influence decision-making through cross-functional collaboration, helping product and engineering leaders spot where ML can create leverage and where it shouldn't. Own and continuously improve our recommendation systems. Evolve our two-tower retrieval and ranking stack, refine our feature set, and push on model quality, latency, and interpretability. Find new and innovative ways to use ML techniques to better serve our community of readers and writers. This might mean smarter spam and slop detection, writer quality modeling, or intelligent routing of human moderation. The goal: keep Medium a place where humans thrive, not bots. Positively contribute to the broader culture and data ecosystem at Medium. Mentor others, document your work with clarity, and help raise the bar for how we think about, design, and deploy ML systems. Share learnings generously and make the people and systems around you better. Attend Medium's twice-yearly, in-person offsites (hosted in locations around the U.S.). Skills, Knowledge and Expertise You've been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models. You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation). You have a proven track record of developing and deploying ML models that deliver measurable business and user impact, not just theoretical gains. You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people's experiences better. You're fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn. You're comfortable taking models from notebook to production. It's a huge added bonus if you have experience with Apache Spark for distributed or large-scale training. You're an excellent collaborator, able to translate between data, product, design, and engineering worlds, helping non-ML partners see what's possible (and what's not). You're excited to be “the voice of ML” in business and product conversations. You're skilled at identifying and evangelizing high-leverage ML opportunities across the organization, from recommendation systems to new personalization or quality signals. You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval. (Bonus) You're curious about content discovery, publishing, or online communities, and have a soft spot for writing, ideas, and helping great work get found. Nice to Haves Experience with modern recommender systems. Experience utilizing modern AI tooling to accelerate development efforts. A passion for online writing, publishing, or long-form content. Familiarity with Medium, as a reader, writer, or both! Benefits In addition to the new skills you'll pick up, here's what else you'll enjoy by working at Medium: Working with a fully distributed team: We're fully remote and have teammates across the U.S. & France. Healthcare benefits covered at 100% for employees and 70% for dependents. Generous parental leave policy. Mental health support through Talkspace. Financial wellness support through Northstar. Stipends for co-working, professional development, wifi, and a one-time home office bonus. Unlimited PTO and standard company holidays. A discounted Medium membership! At Medium, inclusion, diversity, and equity are core to how we work and what we build. We believe a more inclusive team creates a better product-one that's intuitive, thoughtful, and serves a wide range of users. We strive to foster a supportive, fun, and challenging environment where people from all backgrounds can thrive. We welcome applicants from all walks of life and strongly encourage those from historically underrepresented groups to apply. Our hiring process is built to ensure fairness and equal opportunity for everyone. Even if your experience doesn't match every requirement, we'd still love to hear from you-your perspective and passion matter more than checking every box. Learn more about our mission, operating principles, and culture: Yes to a diverse community Be part of a better internet Medium Rules Operating Principles Read about our story here. Please note: We've been made aware that our job postings may appear on third-party sites that are not affiliated with our company. To ensure your application is received and reviewed, please apply directly through our official Greenhouse careers page. We do not collect applications through external job boards or services that request your personal information outside of Greenhouse. Additionally we request that all applications and supplemental questions be filled out directly by applicants themselves without the use of AI assistance. Salary Range$250,000-$300,000 USDGDPR Notice We will process your personal data as part of our recruitment process, in accordance with the General Data Protection Regulation (GDPR). For details on how we use your data, including the legal bases for processing, how long we retain it, and your rights under GDPR, please refer to our Privacy Notice. We may retain your information for future job opportunities based on our legitimate interest in building a talent pool. You can object to this at any time by contacting us at *********************. CCPA Notice If you are a California resident, you have rights under the California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA). These include the right to know what personal information we collect about you, the right to request deletion or correction of your data, and the right to opt out of certain uses. During the hiring process, we may collect personal information such as your name, contact details, resume/CV, employment history, education background, and any information gathered through interviews or assessments. We may share this information with service providers who support our recruitment process, in compliance with CCPA/CPRA. This information is used solely for recruitment and hiring purposes. We do not sell or share your personal information as defined under CCPA/CPRA. Candidate data is retained for up to 48 months for our legitimate business purposes and in accordance with applicable laws. To exercise your rights or request more information, please contact us at *********************. This notice can also be found on our Privacy Notice.

We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications. Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams. Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation. Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice. Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos. Contribute to intellectual property development through patents and scientific publications. Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience. R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization. Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis). Strong experience in Python, Tensorflow and pytorch. Prior experience with ITK, OpenCV, VTK. Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. This role will require travel for up to 25% of the time, often for 3 weeks at a time Preferred qualifications 5+ years of industry experience in AI-based medical device development or clinical deployment. Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: H: Humility- be a servant leader E: Excellence- deliver world-changing results A: Accountability- do what you say; expect the same from others R: Remarkable- inspire & innovate with impact T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (****************************************** All official emails will come *********************** email accounts. #Cleerly

This co-op position is to support the Human Factors Engineering (HFE) team within the Canadian Surface Combatant (CSC) Program. The candidate will be joining a multi-disciplined team environment. The responsibilities would include: Support in managing requirements in Dynamic Object-Oriented Requirements System (DOORS) Planning and managing team tasks in JIRA Managing team information in Confluence Generating reports and metrics on tasks and deliverables Support the Hardware (HW) team in clarifying guidelines and giving recommendations on the design of their equipment Support the Software (SW) team in clarifying guidelines and giving recommendations on the design of their Human Machine Interfaces (HMI) Support the ship integration team in clarifying guidelines and giving recommendations on the layout of the HFE impacted compartments Support HFE Workshops with the customer by preparing workshop material, attending workshops and analyzing workshop findings Review design documents from vendors Support technical reviews and regular team status meetings Support engineering planning and reporting status Generate meeting minutes for HFE meetings (design meetings, review meetings or team status meeting) Support customer interactions while ensuring customer involvement and overall satisfaction. Equal Opportunity Statement Lockheed Martin is committed to upholding principles of equal opportunity, fostering a work environment that is aligned with our core values of integrity, respect, and exceptional performance. We recognize the importance of leveraging the unique talents and experiences of all our employees to drive innovation, deliver superior solutions, and maximize value for our customers. Our focus is on identifying the most qualified candidate for each role, regardless of their background. If you are interested in a position, we invite you to share how your skills and perspectives could bolster our team and encourage you to apply, even if you feel your qualifications do not fully meet all the job criteria outlined in our advertisement. Furthermore, Lockheed Martin is dedicated to ensuring our recruitment process is inclusive for all individuals. We are prepared to accommodate reasonable adjustments for applicants as needed. Currently enrolled student in an Engineering Discipline Strong writing skills Strong communication skills Have a high degree of initiative and autonomy Aptitude for solving challenging problems in a team environment Must be detail oriented, highly organized and able to manage multiple tasks Candidate must be available for four (4) months, full-time as of May 2026 Must be Eligible for North Atlantic Treaty Organization (NATO) Secret clearance in a timely manner. Working knowledge of Microsoft (MS) Suite including Word, Excel, PowerPoint, Visio Experience with Jira/Confluence Results-Oriented Self-Starter Attitude. Will be considered an asset: Experience with HFE Standards (i.e. MIL-STD-1472G) Experience with HW and/or SW HMI design. Active security clearance. About us Headquartered in Ottawa, Lockheed Martin Canada is the Canadian unit of Lockheed Martin Corporation, a global defense technology company driving innovation and advancing scientific discovery. Our all-domain mission solutions and 21st Century Security vision accelerate the delivery of transformative technologies to ensure those we serve always stay ahead of ready. We operate major facilities in Ottawa, Montreal, Halifax, Calgary and Victoria and work on a wide range of programs from advanced naval technology products, aircraft sustainment, and unmanned systems software. This position is part of the Rotary and Mission Systems business area, where employees across Canada support engineering, systems integration, training, sustainment and in-service support programs for Canadian and international military customers across land, air and sea. What we offer you We walk our talk when it comes to work/life balance! Your physical, mental and financial wellbeing matters to us. On top of working in a highly supportive, friendly, respectful environment, this is what you can expect when you join our team as a Regular Full-Time employee: Flexible, compressed work schedules, depending on business requirements, where you have the option of Fridays off, as well as the possibility to work remote part-time Competitive compensation Time to recharge with vacation, personal days, holidays, and parental leaves Comprehensive Family Medical, Dental and Vision coverage available on your first day of employment, along with: Virtual Health Care (24/7 access to medical professionals) A Wellness Spending Account to aid in your wellness journey Employee & Family Assistance Program (EFAP) which includes free face to face counselling sessions Medical Travel Insurance Onsite fitness facilities at our main office locations A Registered Retirement Savings Plan that includes matching company contributions on your first day of employment, that also includes access to Financial Advisors providing investment advice and comprehensive financial planning Employee discounts to save on goods, services and various recreational activities Access to a robust spectrum of development resources to enhance your skills and/or advance your career including: Free learning resources through a modern and engaging platform Education Assistance Program Reimbursement for a professional membership Self-directed Mentoring Language Requirements in Quebec Knowledge of the English language is required for this role as the position described in this posting requires the candidate to communicate every day with a virtual team outside Quebec as well as communicate with different members of the organization, clients and suppliers located outside of Canada. For engineering positions, the candidate must also be able to read or modify technical documents from our main clients and write technical documents for these same clients. At Lockheed Martin Canada, we comply with all pay transparency requirements and believe sharing pay ranges for open roles can foster a more equitable workforce. Controlled Goods Program

Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker Type: Regular Exemption Status: Yes Geisinger seeks an outstanding researcher to serve as a Staff Scientist/Biostatistician for the newly created Geisinger Program Evaluation (GPE) team, whose purpose is to conduct rigorous evaluations of potentially high-impact programs intended to improve patient health or improve efficiency at Geisinger. The GPE Staff Scientist/Biostatistician will be responsible for helping lead rigorous, primarily non-randomized (or partially randomized) evaluations of existing or new programs at Geisinger. The Staff Scientist will help lead or participate in study design, analysis (preferably using R), and reporting/dissemination of results to internal stakeholders (e.g., Geisinger leaders) as well as to academic audiences (e.g., at conferences and in academic publications). Evaluations from GPE team members have been published or are forthcoming in high-impact journals, including PNAS, Nature Human Behaviour, JAMA Network Open, and The Journal of Pediatrics. Additionally, the Staff Scientist will coordinate with other team members (e.g., Staff Scientist, Data Analyst, Project Manager). The Staff Scientist/Biostatistician will report to the GPE Associate Director, Neal Goldstein, PhD, under the GPE Director, Amir Goren, PhD, with oversight by Faculty Co-Directors, Christopher Chabris, PhD, and H. Lester Kirchner, PhD. The Staff Scientist will also collaborate with the Behavioral Insights Team (BIT). The BIT was created in 2018 to apply behavioral science methods to the design, implementation, and experimental evaluation of programs and lightweight behavioral interventions intended to improve outcomes and experiences for patients, clinicians, employees, and other stakeholders of Geisinger and other health systems. The BIT now collaborates on randomized prospective evaluations as part of GPE. It is led by Professors Michelle Meyer, PhD, JD, and Christopher Chabris, PhD, the founding Faculty Co-Directors, and Program Director Gail Rosenbaum, PhD. The ideal candidate will have expertise in field(s) related to biostatistics, epidemiology, health economics, and/or health services research in a healthcare, academia, or industry setting, as well as strong methodological training in causal inference using non-randomized (quasi-experimental and observational) study designs. A Ph.D. in biostatistics, epidemiology, health economics, public health, or another relevant scholarly discipline is strongly preferred, with track records of publishing original empirical research, collaborating with others, and disseminating work to technical and non-technical audiences. The GPE Staff Scientist/Biostatistician will be based in Danville, Pennsylvania at the main campus and headquarters of Geisinger. Remote work from another U.S. location (with occasional travel to Danville) may be possible for an exceptional candidate. Geisinger is a large, integrated health services organization founded in 1915. Through its 11 hospital campuses, the Geisinger Health Plan, and the Geisinger College of Health Sciences, which includes the Clinical Education Institute and Research Institute, the Geisinger Commonwealth School of Medicine (GCSOM), and the Geisinger School of Nursing, Geisinger serves more than 1 million residents throughout 46 counties in central, south-central, and northeastern Pennsylvania. The system includes over 26,000 employees, including over 1,700 employed physicians, while Geisinger Health Plan serves over 550,000 members. Geisinger's main campus in Danville, PA, is located within a three-hour drive of New York City, Philadelphia, and Washington, DC. This GPE reports up to the Research Institute within the Geisinger College of Health Sciences. The Research Institute is engaged in investigating a broad range of research topics, including genomics, population health, and bioethics and decision sciences, using a broad range of methods, including data science and informatics, implementation science, and health services research. Research at Geisinger benefits from the system's nearly 30 years of electronic health records, its clinical and genomics data warehouses, and its large, stable patient population. Geisinger's research environment involves over 400 team members including more than 40 research faculty and a growing number of clinicians and learners engaging in collaborative research. In 2024, Geisinger was awarded $41 million in external grant and contract funding, carried out more than 1,400 research studies, including clinical trials, and published over 1,400 scientific articles. Job Duties: Major duties and responsibilities: Assisting the Associate Director in day-to-day operations and development of the GPE Liaising, initiating, and coordinating execution of projects with internal and external stakeholders; this includes Geisinger groups such as clinical departments, the IRB, and the compliance, quality, and legal functions Providing expert level biostatistical knowledge - theoretical and applied - to observational study design and analytic methodologies Staying abreast of methodological developments for program evaluation in healthcare Contributing to or leading manuscript drafting and submission for select evaluation studies (first-author opportunities available) Participating in the design of interventions for evaluation and implementation at Geisinger Participating in data management, analysis, visualization, and reporting to assess the effectiveness of Geisinger programs, including assessing their effects on patient and other outcomes and quantifying the associated costs and return on investment Engaging in open science best practices (e.g., preregistration, preparing and sharing de-identified data and code) Disseminating GPE findings at scientific conferences and to lay audiences (e.g., sharing findings with Geisinger leaders) Required qualifications: Experience using statistical software (preferably R, others acceptable) Training in advanced, quasi-experimental and observational statistics Strong critical thinking skills Curiosity and problem-solving skills to proactively identify solutions to pragmatic challenges in a complex healthcare system environment Ability to work in an independent manner and complete increasingly complex assignments Strong teamwork skills and the ability to work effectively in a group environment Exceptional organizational, planning, and analytical skills Competence in written, oral, and electronic communication skills (interpersonal/communication and technological effectiveness competencies) Desired qualifications: Experience implementing applied research in a healthcare and/or relevant industry setting Experience with open science best practices Training in program evaluation or health services research Experience with econometrics Experience with epidemiology Experience with implementation science Experience in interdisciplinary research and working in collaborative teams Experience in the healthcare industry or academia Experience with programming and databases (e.g., Python, SQL) Education and/or experience: A Ph.D. in biostatistics, epidemiology, health economics, public health, but exceptional candidates with other credentials will be considered Graduate training in non-randomized causal inference methods, including quasi-experimental and observational study designs Minimum 3 years' post-graduate experience managing healthcare or other research projects and supervising or otherwise collaborating actively in a team setting Scholarly publications Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. Position Details: To apply: Please send a cover letter, C.V. or resume, and two representative scholarly publications in a single email to ****************************************. Please also include names, titles, and contact information for three references (we will contact you before reaching out to your references). Questions about the position may also be sent to the same address. Review of applications will begin immediately and will continue until the position is filled. Dr. Goren: ******************** Professor Kirchner: ***************************************************************************************************************** Professor Chabris: ********************** Education: Doctoral Degree- (Required), Doctoral Degree-Behavioral Science (Preferred) Experience: Minimum of 3 years-Related work experience (Required) Certification(s) and License(s): Skills: Reference Content, Research Analysis, Research And Development Function, Research Documents, Research Methodologies OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family. We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

Welcome to Verdantas, where innovation meets sustainability, and your career finds purpose! At Verdantas, we're redefining environmental consulting and sustainable engineering through our use of cutting-edge modeling and digital technology and our genuine commitment to people. Our work spans high-growth sectors like water resources, resilient land use, energy transformation, and civil infrastructure. Our commitment to excellence, across more than 90 offices, is championed by a team of over 2,000 experts, scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture, prioritizing the well-being of our employees, clients, and the communities we serve. We partner with clients to deliver smart, data-driven solutions to complex environmental and infrastructure challenges. We don't just solve problems; we help shape a more sustainable future. Join a people-first culture that values your well-being, empowers your growth, and amplifies your impact. At Verdantas, your career goes beyond the expected, and your work helps build a better world. Ready to shape the future of resilient communities? We are looking for motivated Environmental Scientist/Qualified SWPPP Practitioner (QSP) to join our team! This is a mid-level stormwater professional position, depending on experience. This role will be a great fit for you if you're ready to learn and grow in your new career, are seeking a collaborative work environment, and are passionate about the environment. This position is remote with preferred locations in Santa Rosa or Sacramento, CA. In this role, you'll support environmental and stormwater compliance projects, including assisting clients in complying with stormwater regulations and preventing pollutants from leaving the project boundary and entering our waterways. Responsibilities will include conducting stormwater inspections, developing and implementing Stormwater Pollution Prevention Plans (SWPPPs) and/or site stabilization plans, conducting stormwater sampling, conducting desktop evaluations, providing on-site training to construction crews, and preparing related documentation and reporting. Depending on qualifications and experience, this position generally performs work under the supervision/guidance of more senior staff supporting both routine and complex projects. This position may support assigned initiatives and special projects. Travel and overnight travel will be required, with periodic weekend and overtime work. What You'll Do: BS or BA degree, preferably in an environmental discipline, sciences, or engineering Minimum of 3 years of relevant experience supporting experience in SWPPP, including sampling and analysis, non-storm water and storm water visual observations, and preparation of Rain Event Action Plans, environmental restoration, landscape construction, and erosion control Knowledge of water quality or Stormwater management information, techniques, practices, laws, and regulations of the job or occupational field Knowledge of the California State Water Board Permits Valid driver's license and reliable transportation What You'll Bring: Cross-training in natural resources, including wetlands and/or environmental permitting Current QSP Certification (QSD Certification is preferred) Experience with the California Stormwater Multiple Application and Report Tracking System (SMARTS) Familiarity with the California Stormwater Construction General Permit and the California Stormwater Quality Association (CASQA) Construction Handbook Possess knowledge of environmental key issues and trends, including emerging best practices and technology, and familiar with industry language and terminology Competency with Google Earth KMZ Salary Range: $65,000-$95,000 Benefits: Flexible Work Environment Paid Parental Leave Medical Dental Vision Life and AD&D Insurance Short-Term and Long-Term Disability 401(k) with Company Match Paid Time Off + Holidays Verdantas strives to develop new ways to increase diversity awareness within our organization. We recruit and reward our employees based on capability and performance - regardless of race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, or physical ability. For us, it is imperative to build balanced teams from all walks of life and we believe that a diverse workforce is a stronger workforce. Verdantas is an EOE race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet

Career-defining. Life-changing. At iRhythm, you'll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what's possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career About This Role: iRhythm's Product Development team is seeking a Human Factors Engineer to enhance product usability and safety through assessment and validation. You'll play a pivotal role within iRhythm's Human Factors Center of Excellence, charting the course for the company's capabilities and collaborating with cross-functional teams. This opportunity offers substantial career growth potential while positively impacting lives through design and technology. What You Will Be Doing Support execution and documentation for usability engineering evaluations. Support authoring of formative and summative usability study protocols Support coordinate and moderate formative usability studies. Support root cause analysis and aggregate data for presentations and formal reports. Partner with external vendors as required to execute of human factors evaluations (recruiting, study design, execution, analysis, & reporting) Update usability risk analyses in collaboration with cross-functional stakeholders. Collaborate with Verification & Validation (V&V) teams during Design Validation and Summative Human Factors Validation. Work with design teams to create patient-centric and compliant designs. What We Want To See BS in Human Factors or in a science/engineering discipline with relevant experience and 1+ years of Human Factors experience in design-controlled processes, specifically in regulated domains like medical devices, or MS in Human Factors or in a science/engineering discipline with relevant experience. Must understand regulatory requirements, possess knowledge of medical device design and FDA guidelines, and be familiar with HE75 and IEC 62366-1, -2. Demonstration of technical problem-solving, interpersonal, and communication skills (verbal and written). Work Environment / Other Requirements: Available for up to 25% travel, including both domestic and international trips (must be cleared for international travel). Role can be remote US or based in SFBA; if candidate is in SFBA, role is hybrid (1-2 days per week in the office) Location: Remote - US Actual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location. Estimated Pay Range $72,000.00 - $90,000.00 As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws. iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our online system. If you need such an accommodation, you may contact us at ********************* About iRhythm Technologies iRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm's vision is to deliver better data, better insights, and better health for all. Make iRhythm your path forward. Zio, the heart monitor that changed the game. There have been instances where individuals not associated with iRhythm have impersonated iRhythm employees pretending to be involved in the iRhythm recruiting process, or created postings for positions that do not exist. Please note that all open positions will always be shown here on the iRhythm Careers page, and all communications regarding the application, interview and hiring process will come from ****************** email address. Please check any communications to be sure they come directly ********************* email address. If you believe you have been the victim of an imposter or want to confirm that the person you are communicating with is legitimate, please contact *********************. Written offers of employment will be extended in a formal offer letter from ******************* email address ONLY. For more information, see *********************************************************************************** and *****************************************

Building on Oracle's cloud momentum, we've launched a brand-new organization-Oracle Health -dedicated to reimagining healthcare technology. Our mission is to design and deliver a modern, automated platform that empowers providers, improves patient outcomes, and sets the standard for innovation in healthcare. This is a net-new line of business, built with an entrepreneurial spirit and the freedom to create something world-class from the ground up. We're seeking a Senior Manager of Engineering & Applied Scientists-a hands-on technology leader who thrives on solving complex challenges in distributed systems, cloud infrastructure, and highly available services. In this role, you'll lead talented teams to design, build, and operate mission-critical solutions within a Managed Services environment, managing workloads that healthcare providers depend on every day. You'll succeed here if you're: A AI/ML Technologist who brings both depth and versatility across AI/ML solutions & LLM agents. A people leader who can inspire, mentor, and grow high-performing teams while driving technical excellence. A strategic thinker with the operational know-how to influence executive decision-making and shape policies that define how we deliver for customers. An entrepreneur at heart, energized by fast-paced, high-stakes environments where your ideas directly shape the future. This role offers the chance to set the vision, build the foundation, and lead teams that will transform healthcare through technology. If you're ready to apply your skills, passion, and leadership to one of the most impactful challenges of our time, we'd love to have you on the journey. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $115,600 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - M3 Job Responsibilities Lead, manage, and mentor a high-performing engineering team dedicated to developing and scaling AI/ML solutions and LLM agents for the healthcare sector. Oversee the design and development of advanced agentic AI solutions tailored for healthcare applications, such as patient outreach, symptom screening, and clinical decision support. Drive the technical strategy for LLM performance optimization, including advanced prompt engineering, model fine-tuning, and the development of sophisticated Retrieval-Augmented Generation (RAG) systems. Collaborate with product management, research, and clinical teams to define and execute the product and technical roadmap for our healthcare AI platforms, ensuring agent outputs align with medical accuracy and regulatory guidelines. Foster a culture of operational excellence by implementing robust processes for system monitoring and incident response, ensuring the high reliability and availability of mission-critical AI services. Provide technical guidance and architectural oversight on complex systems, and be prepared to contribute to the codebase to resolve critical bottlenecks. Recruit, hire, and develop top engineering talent, providing the coaching and support needed to advance their careers in a specialized, high-impact domain. Manage the team's project priorities in a dynamic and fast-paced environment, ensuring alignment with broader business objectives and clinical safety standards. Qualifications Master's degree or PhD in Computer Science, Artificial Intelligence, a related technical field, or equivalent practical experience is required. 2+ years of experience in a technical leadership role, managing software engineering teams focused on AI/ML. Proven experience in designing, building, and deploying LLM agents or agentic solutions using frameworks such as LangChain, LlamaIndex, or CrewAI. Deep understanding of LLM application architecture, including advanced prompt design, model fine-tuning strategies, and building RAG systems with vector databases (e.g., Pinecone, Weaviate). Background in building and maintaining high-performance, large-scale ML systems, with familiarity in GPU/accelerator programming and ML framework internals. Familiarity with the ethical considerations and regulatory requirements (e.g., HIPAA) for implementing AI in the healthcare industry. Demonstrated ability to hire, grow, and retain a diverse team of high-performing engineers. Excellent communication skills, with the ability to build strong relationships and articulate complex technical concepts to both technical and non-technical stakeholders.

Aptive Resources is seeking a Senior Human Factors Engineer with a profound understanding of research and industry trends to join our dynamic team. As a Senior Human Factors Engineer, you will leverage your expertise to devise innovative strategies, evaluations, and designs that enhance the usability and performance of products and processes. As a Senior Human Factors Engineer at Aptive Resources, you will play a pivotal role in shaping user experiences and driving innovation across our product portfolio in support of our federal client. If you are passionate about leveraging human factors engineering to deliver exceptional user-centric solutions, we invite you to apply for this exciting opportunity. Primary Responsibilities Research and Analysis: Stay abreast of the latest developments in human factors engineering, integrating cutting-edge knowledge into product assessments and design methodologies. Usability Evaluations: Conduct comprehensive evaluations of products and processes, identifying areas for improvement and recommending redesigns to mitigate negative impacts on users. User-Centric Design: Visualize the potential effects of design changes on diverse user groups, ensuring inclusivity and accessibility in all aspects of product development. Live Demo Support: Provide valuable insights and suggestions during live demo calls, and effectively respond to participant feedback during user sessions. Communication and Collaboration: Clearly articulate human factor issues to engineering teams and end users, fostering collaboration and understanding across all stakeholders. Standards Adherence: Maintain a thorough understanding of relevant standards and human factors engineering methodologies, ensuring compliance with industry regulations. Agile Methodologies: Demonstrate proficiency in SAFe's Lean Agile principles and practices, driving organizational change and operational excellence through the empowerment of high-performing Agile teams. Minimum Qualifications Master's Degree in Human Factors Engineering, Industrial Engineering, Psychology, or a related field. Minimum of 10 years of experience in human factors engineering or a closely related field, with a focus on product design and usability assessments. Deep understanding of human factors engineering principles, research methodologies, and usability standards. Excellent verbal and written communication skills, with the ability to convey complex human factor concepts to diverse audiences. Experience with SAFe's Lean Agile principles and practices, with a demonstrated ability to drive organizational change and operational excellence through Agile methodologies. Desired Qualifications PMP Certification Experience supporting the VA or VHA highly desired About Aptive Aptive is a modern federal consulting firm focused on human experience, digital services, and business transformation. We harness creativity, technology, and culture to connect people and systems to impact the world. We're advisors, strategists, and engineers focused on people, above all else. We believe in generating success collaboratively, leaving client organizations stronger after every engagement and building trust for the next big challenge. Our work inspires people, fuels change and makes an impact. Join our team to be part of positive change in your community and our nation. EEO Statement Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.