Senior scientist jobs in Denver, CO - 253 jobs

Primary responsibilities include the coordination of petrophysical data collection; formation evaluation and running fit-for-purpose petrophysical models; and working with multidisciplinary teams on exploration / development / production program execution and reservoir characterization. Data collection activities includes planning and execution of formation evaluation programs and procedures for coring, wireline logging, data quality control, computer processing, and data management. Strengths include Integration/calibration of core and wireline log data to provide accurate mineralogic determination, saturation models, porosity models, volumetric determination, and estimations of mechanical rock properties for horizontal well targeting. Prior petrophysical experience in unconventional assets is required, and experience within Rockies basins is desirable.

We are seeking a Senior Advanced Photonics Scientist at our Broomfield, CO or Albuquerque, New Mexico Location. Key Responsibilities: * Participate in a team of physicists and optical engineers supporting the development of commercial and research systems for quantum computing * Design and develop integrated photonic components and systems in novel ways to deliver and manipulate light across the spectrum * Collaborate across disciplines (architecture, physics, photonics, fabrication, mechanical engineering) to define systems and requirements to support quantum computing and demonstrate systems meeting performance requirements * Gather technical requirements, turn them into action plans, and ensure the components and systems meet the requirements * Design novel integrated photonic components to meet challenging specifications * Layout test PICs and work closely with fabrication and test teams to validate photonic component performance * Lead and work with PIC development team and external vendors to ensure timely development and delivery of key demonstrators YOU MUST HAVE: * PhD Degree minimum * Minimum 6+ years of experience (advanced degree inclusive) with photonic integrated circuits (PIC) design using photonic simulation tools (Lumerical, RSoft, or similar guided mode and FDTD solvers) and layout tools (Klayout, GDSFactory, or similar) * Minimum 4+ years' experience (advanced degree inclusive) using and maintaining optical/photonic systems * Due to Contractual requirements, must be a U.S. Person. defined as, U.S. citizen permanent resident or green card holder, workers granted asylum or refugee status * Due to national security requirements imposed by the U.S. Government, candidates for this position must not be a People's Republic of China national or Russian national unless the candidate is also a U.S. citizen. WE VALUE: * PhD Degree minimum (in Optics, Physics, Applied Physics, Electrical Engineering, or a related field) * Experience with design-for-manufacturing * Experience with photonics fabrication processes and metrology * Experience with materials used in visible photonics circuits and optics * Experience in product development regarding photonic design, fabrication and/or packaging of PIC systems * Experience working with cross-disciplinary teams (architecture, physics, fabrication, mechanical engineering, photonics) to develop solutions * Experience leading and mentoring small teams * Broad understanding of optical principles and practices and experience applying this knowledge to projects * Programming experience in Matlab, Python, C * Experience with testing and data analysis (taking, plotting, analyzing, fitting and interpreting relevant data from optical testing experiments) $140,000 - $175,000 a year Compensation & Benefits: Non-Incentive Eligible The pay range for this role is $140,000 - $175,000 annually. Actual compensation within this range may vary based on the candidate's skills, educational background, professional experience, and unique qualifications for the role. Quantinuum is the world leader in quantum computing. The company's quantum systems deliver the highest performance across all industry benchmarks. Quantinuum's over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution. By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries. As we celebrate the International Year of Quantum, there has never been a more exciting time to be part of this rapidly evolving field. By joining Quantinuum, you'll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible. What is in it for you? A competitive salary and innovative, game-changing work Flexible work schedule Employer subsidized health, dental, and vision insurance 401(k) match for student loan repayment benefit Equity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick time Paid parental leave Employee discounts Quantinuum is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Know Your Rights: Workplace discrimination is illegal We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

**51416BR** **Company:** General Atomics General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies. General Atomics Electromagnetic Systems (GA-EMS) is rapidly expanding its Optical Technologies Group, building a world-class, vertically integrated capability in multi-spectral space and airborne electro-optical (EO) payloads, optical communication terminals (OCTs), adaptive optics (AO), missile seekers, and directed energy (DE) systems. Our mission is to deliver cutting-edge technologies that protect the nation and its warfighters. We invest heavily in optics and photonics infrastructure, internal R&D, and employee-focused technical training. We seek a hands-on, photonics-centric scientist who can both lead laboratory development efforts and contribute to analytical/theoretical research. The ideal candidate thrives in a fast-paced environment, can operate with minimal direction, and communicates a clear technical vision across diverse teams. **DUTIES & RESPONSIBILITIES:** + Lead design, modeling, integration, and testing of advanced electro-optical systems. + Apply expertise in EO system simulation, adaptive optics, free-space optical communications, wavefront sensing, laser systems, radiometry, interferometry, and polarization. + Perform parametric studies, design trade analyses, and performance verification of EO sensor concepts. + Architect and execute laboratory demonstrations, including hands-on optical alignment, assembly, and precision testing. + Develop and implement algorithms for EO data processing (MATLAB, Python). + Utilize optical design software (Zemax, FRED, or equivalent) for conceptual and detailed optical system design. + Collaborate with cross-functional teams (systems engineering, opto-mechanics, mechanisms, algorithms, GNC) to mature EO subsystems and payload concepts. + Provide technical leadership, mentoring, and subject-matter expertise in advanced optical physics and photonics. + Serve as a focal point for technical communication with company leadership, customers, and government stakeholders. + Contribute to technical reviews, program reports, and customer briefings. + Anticipate emerging EO technology needs and develop innovative solutions to address them. + Ensure compliance with company standards, program security requirements, and safe laboratory practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. **Job ID#:** 51416BR **Job Category:** Scientists **Travel Percentage Required:** 0% - 25% **Full-Time/Part-Time:** Full-Time Salary **State:** Colorado **Clearance Level:** Secret **Pay Range Low:** 105,890 **City:** Longmont **Clearance Required?:** Desired **Pay Range High:** 189,545 **Recruitment Posting Title:** Electro-Optical Scientist **Job Qualifications:** + Typically requires a Bachelors degree, Masters degree or PhD in a scientific or related technical field and progressively complex scientific experience as follows; six or more years experience with a Bachelors degree, four or more years experience with a Masters degree, and two or more with a PhD. Equivalent scientific experience may be substituted in lieu of education. + Demonstrated expertise in EO/IR system design, analysis, and test. + Hands-on experience with laboratory optical integration and alignment. + Proficiency in MATLAB/Python for modeling and data analysis. + Familiarity with optical design tools (Zemax, FRED, Code V, or equivalent). + Strong background in applied physics, mathematics, and computational methods. + Proven ability to lead technical teams and communicate across disciplines. + U.S. citizenship with ability to obtain and maintain a DoD security clearance. **Desired Attributes** + Self-starter with the ability to operate independently in both theoretical and experimental settings. + Strong problem-solving skills with a record of innovation and practical implementation. + Excellent written and verbal communication, including the ability to brief technical and non-technical audiences. + Passion for advancing EO and photonics technologies in national security applications **US Citizenship Required?:** Yes **Experience Level:** Mid-Level (3-7 years) **Relocation Assistance Provided?:** Yes **Workstyle:** Onsite General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. In accordance with applicable federal law, General Atomics takes affirmative action to employ and advance the employment of qualified protected veterans and individuals with disabilities. We also prohibit compensation discrimination under all applicable laws. U.S. Citizenship is required for certain positions. To learn more, please review the EEOC's "Know Your Rights: Workplace Discrimination is Illegal" poster.

Posting Title Demand Forecasting Lead Scientist . . Type Regular . Hours Per Week 40 . Working at NLR NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description NLR is seeking an accomplished demand forecasting specialist within the Strategic Energy Analysis and Decisions Sciences (SEADS) directorate. The SEADS directorate contributes to an exciting portfolio of energy analysis and grid futures studies, applying advanced modeling and simulation tools to optimally plan, design, and analyze distribution and bulk power systems. You would join us in strategizing, supporting, and growing energy demand forecasting research such as the future of large load siting and interconnection, demand response value and opportunities, growth in next-generation energy carriers, as well as innovative approaches to analyze the impact of electrification of buildings and transportation. Our work informs technology developers, policymakers, utilities and the wider energy industry by developing and analyzing future scenarios that answer critical questions about how the energy system is transforming. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: ******************************** What we can offer: * A collaborative, fast-paced, flexible, and fun work environment * Endless opportunities to both mentor and learn from experienced professionals in renewable and efficient energy systems, as well as software development and computation * Portfolios of research that facilitate a reliable, affordable, abundant energy future * Fostering a life-long desire to understand, analyze, and plan the future energy system * Leading-edge analysis and a broad suite of experts from supply-side and demand-side energy sectors Job responsibilities may include: * Foster teams, projects, strategies, and relationships that establish and maintain NLR as a leader in demand-side research * Strategize growth of a demand forecasting portfolio * Develop projects and build teams for projects that contribute to the advancement of demand-side research including demand forecasting * Build laboratory-wide teams and serve as a technical resource and mentor at a laboratory level * Develop and respond to potential business development activities relating to demand-side industry needs * Represent the laboratory to external agencies * Forge relationships with DOE offices with focus on demand-side research and peer national labs * Frequently interact with laboratory and/or governmental senior level management * Serve as mentor/trainer for other workers (e.g., interns, postdocs, Research Technologists, Technicians) and begins to mentor other Researchers within their organization (e.g., group, center or directorate) * Regularly seeks and secures project funding to cover self and others * Collaborate with research experts from wide group of skillsets, and ensure coordination across relevant projects and programs lab-wide * Communicate an inspiring vision of the future across the organization * Empathize and actively learn about customers' needs * Be an externally facing champion and conduit for the research happening across NLR * Write and publish results of analyses in peer-reviewed journals and/or technical reports and/or other publications * Reinforces positive physical and behavioral safety culture within the laboratory Researcher V-Model Engineering: All of the above in addition to the following: * Advocates for research projects, programs, and strategies by communicating the impact, accomplishments, and needs to senior level stakeholders and partners internally and externally. * Frequently serves as a technical leader, role model, and mentor in the laboratory and externally within their field of research. * Provides technical direction to internal and external teams or organizations for diverse and/or uniquely complex projects. * Coordinates and monitors the work of others in large and/or multi-institutional and interdisciplinary teams. * Serves as a role model for effective and creative technical leadership at national and/or international levels. * Consistently briefs senior-level laboratory and/or governmental managers. * Builds national, multi-disciplinary, or intensely focused teams and serves as a technical resource and mentor to communities external to the laboratory. * Represents and can negotiate laboratory participation in large, national and/or international projects. * Consistently interacts with laboratory and/or governmental senior-level management. * Mentors others within their organization. May mentor others outside organization (e.g., cross-directorate). . Basic Qualifications This role can be hired at a level IV or a level V: Researcher V: Relevant PhD and 9 or more years of experience . Or, relevant Master's Degree and 12 or more years of experience . Or, relevant Bachelor's Degree and 14 or more years of experience . Apply advanced engineering technical principles, theories and concepts. Contributes to the development of new principles and concepts. Considered a national subject matter expert. Demonstrates leadership in a number of areas including all team, task and/or project lead responsibilities (works independently). Demonstrated management of complex and/or impactful projects. Excellent writing, interpersonal and communication skills. Researcher IV: Relevant PhD and 4 or more years of experience . Or, relevant Master's Degree and 7 or more years of experience . Or, relevant Bachelor's Degree and 9 or more years of experience . Applies extensive engineering technical expertise, and has full knowledge of other related disciplines. Considered a technical resource. Demonstrates leadership in several areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Excellent writing, interpersonal and communication skills. * Must meet educational requirements prior to employment start date. Additional Required Qualifications * You have extensive experience with power system, transmission modeling, and/or energy systems planning tools, including load/energy forecasting * You are a visionary thinker backed by a strong strategic and analytical framing * You are an innovator and provide creative solutions to complex problems * You pick up on new concepts quickly, synthesize information and generate insights Preferred Qualifications * You have a history of leading significant ($3M or more) and impactful projects funded by DOE and/or industry * You have long-standing relationships with DOE offices and leadership of national labs and industry * You have helped inform leadership decisions at DOE and align various stakeholders, with diverging opinions . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week) Job Profile: Researcher V / Annual Salary Range: $120,400 - $216,700 Job Profile: Researcher IV / Annual Salary Range: $100,400 - $180,700 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. Benefits Summary Benefits include medical, dental, and vision insurance; short*- and long-term disability insurance; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; paid holidays; and tuition reimbursement*. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Limited-term positions are not eligible for long-term disability or tuition reimbursement. * Based on eligibility rules Badging Requirement NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Drug Free Workplace NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Reasonable Accommodations E-Verify ******************** For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking a Senior Mission Systems Architect to support programs focused on space-based remote sensing. The ideal candidate will translate requirements into CONOPS and system architectures that enable operational success. The role requires a strong understanding of space-based sensor phenomenology and experience contributing to system integration, verification and validation, and agile development efforts. Responsibilities: Provide senior-level subject matter expertise to guide the architecture, design, and implementation of OPIR-focused software systems and analytical applications. Evaluate system design documents, user interface prototypes, and software artifacts to ensure technical soundness and operational suitability for OPIR missions. Participate in sprint reviews, technical interchange meetings (TIMs), and formal design reviews with a focus on OPIR system integration, data processing, and analytic performance. Support government stakeholders by reviewing and validating contractor performance against OPIR-specific technical, analytical, and operational objectives. Ensure that new and evolving software capabilities align with OPIR mission requirements, operational workflows, and emerging needs of the OPIR analysis and research communities. *This position is designed to be flexible, with responsibilities evolving to meet business needs and enable individual growth. Required Experience: Active TS-SCI clearance with ability to obtain and maintain a CI poly. Proven ability to develop comprehensive Concepts of Operations (CONOPS) documents, translating complex mission requirements into clear operational descriptions for diverse stakeholder audiences (e.g., users, developers, managers). Background in the operation and application of space-based sensors, with an understanding of the underlying phenomenology of different sensing modalities (e.g., optical, radar, IR). Solid understanding of machine learning principles, data analysis, statistical methods, and optimization algorithms. Clear and effective communication with technical teams, stakeholders, and end-users is necessary to coordinate projects and explain complex information. The capacity to manage multiple projects, balance timelines, and maintain structured workflows. Experience with space-based sensor operations and phenomenology. Skill in evaluating existing systems, analyzing user needs and product requirements, and integrating new remote sensing technologies or methods into existing system architectures. Candidates should possess experience in leveraging data from various space-based phenomenology to support mission objectives, such as missile defense or space domain awareness. Strong knowledge of event-driven architecture (EDA) and enterprise integration patterns, including publish/subscribe and request/reply. Experience working with research or operational communities, including mission partners, program offices, or analytic organizations. Familiarity with agile development processes and software evaluation practices. Experience with multi-INT integration or space-domain awareness systems Qualifications: Bachelor's degree in software engineering, computer science, or related field (master's preferred and PhD Desired) Minimum of 5 years of experience with OPIR data systems, processing pipelines, and exploitation workflows 10-15 years of experience in software/system engineering with direct involvement in DoD or IC mission systems MA/MS degree with 13+ years of relevant experience, OR BA/BS degree with 15+ years of relevant experience in a discipline aligned with the position's responsibilities. Why Work for Us? Core4ce is a team of innovators, self-starters, and critical thinkers-driven by a shared mission to strengthen national security and advance warfighting outcomes. We offer: 401(k) with 100% company match on the first 6% deferred, with immediate vesting Comprehensive medical, dental, and vision coverage-employee portion paid 100% by Core4ce Unlimited access to training and certifications, with no pre-set cap on eligible professional development Tuition assistance for job-related degrees and courses Paid parental leave, PTO that grows with tenure, and generous holiday schedules Got a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing. Join us to build a career that matters-supported by a company that invests in you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours. Lockheed Martin Space is seeking a full-time Early Career Research Scientist. This role will be responsible for: - evaluating, refining, and developing remote sensing algorithms. - optimizing algorithms and processing chains written in C++ and enhance for various use cases. - performing simulation and analysis for remote sensing systems. The successful candidate will have experience and/or knowledge of C++ or MatLab, applied math, and algorithm development. Must be a US Citizen; this position will require a government security clearance. This position is in Boulder, Colorado at our offices which have a collaborative and modern agile workspace. Basic Qualifications • Degree in a STEM (Science, Technology, Engineering, or Math) field from an accredited institution. • Proficiency in MatLab and another programming language • Ability to obtain a TS/SCI Clearance required for this role. Desired skills • Proficient in C++ & Python • Experience with hardware acceleration technologies (e.g., GPUs, FPGAs) • Understanding of AI/ML algorithms and architectures (e.g., CNNs, RNNs, transformers). • Experience in remote sensing • Experience with software version control such as GIT • Applied mathematics or algorithm development experience • Strong experience in software design and development. • Active security clearance Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Other Important Information By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to work remotely Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedule Information Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Security Clearance Information This position requires a government security clearance, you must be a US Citizen for consideration. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $62,700 - $110,630. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $72,200 - $125,005. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

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 Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications. Conduct rigorous analysis and validation of machine learning algorithms and prototypes. Explore novel methods for processing and analyzing large, complex medical imaging datasets. Collaborate with engineering teams to deploy ML algorithms in clinical practice. Present research findings, insights, and recommendations to internal stakeholders and external collaborators. Author scientific publications and contribute to patent development. Manage collaborative research projects with leading academic partners. Requirements Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience. Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning. Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection. 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). Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results. Ability to translate complex clinical requirements into machine learning solutions. Strong critical thinking, problem-solving, and project management skills. Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred Qualifications: 2+ years of postdoctoral research or industry experience. Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques. Strong domain knowledge in CT imaging and its clinical applications. TTC*: $207k - $265k *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

We are seeking a highly experienced Senior Scientist with expertise in space-based radio occultation and surface reflection measurements and applications. The ideal candidate will have a strong background in Atmospheric Science, Physics, Electrical Engineering, or a related field, coupled with extensive practical knowledge spanning 10-20 years in the application of GNSS radio occultation and reflection data for weather forecasting and related atmospheric and geophysical research and applications. About PlanetiQ PlanetiQ is a privately owned space-tech company providing the highest-quality GNSS radio occultation (RO) data from our own satellite constellation. Our data powers accurate weather and climate forecasts and helps protect communities from severe weather. Founded in 2015, we serve government, defense, and industry leaders worldwide, and in 2025 were awarded NOAA NESDIS's largest ever, $24.3 weather satellite data contract. We are known for solving tough problems, building groundbreaking technology, and setting the standard for precision and reliability in atmospheric monitoring. Role Lead and manage scientific research initiatives focused on advancing the understanding and application of radio occultation and reflection data. Develop algorithms and methodologies to optimize the use of radio occultation and reflection measurements for estimating the atmospheric and surface state and forecasting weather and climate. Collaborate closely with engineering teams to enhance satellite instrumentation and data processing techniques. Provide technical guidance and mentorship to junior scientists, researchers and engineers within the organization. Publish research findings in peer-reviewed journals and present at scientific conferences to contribute to the field's knowledge base. Engage with external stakeholders including government agencies, academic institutions, and industry partners to promote the adoption and utilization of radio occultation and reflection technology. Participate in writing proposals. Minimum Qualifications PhD in Atmospheric Science, Physics, Electrical Engineering, or a closely related discipline. 10-20 years of progressive experience in conducting research involving space-based radio occultation and reflection measurements. Demonstrated expertise in the application of radio occultation and reflection data for weather forecasting and atmospheric research. Proven track record of leading scientific projects and managing research teams. Strong programming skills (e.g., Python, MATLAB, C++, FORTRAN) for data analysis and algorithm development. Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts to diverse audiences. Ability to work independently as well as collaboratively in a fast-paced, interdisciplinary team environment. Preferred Qualifications Prior experience with remote sensing, satellite instrumentation and data acquisition systems preferred. Familiarity/experience in AI/ML desired. Benefits and Compensation Competitive salary, commensurate with experience Equity in the form of stock options Annual performance-based bonus Medical, dental, and vision insurance with fully-paid premiums 401(k) plan 33 days of PTO per year, including holidays and sick days Relocation reimbursement for qualified roles Opportunity to work with cutting-edge satellite technology and contribute to groundbreaking advancements in atmospheric and geophysical science. Dynamic and inclusive work environment with opportunities for professional growth and development. Location Golden, CO preferred, remote may be considered To qualify for this role you must be currently authorized to work lawfully in the United States.

**The Role:** General Motors is seeking a **Senior AI/ML Scientist** to join the Vehicle Mechatronic Embedded Controls (VMEC) organization. In this role, you will design and deploy advanced machine learning solutions that drive innovation across vehicle lifecycle management, diagnostics, and predictive maintenance. You will work on cutting-edge AI technologies, including large language models (LLMs), generative AI, and real-time inference systems, to enable intelligent, scalable solutions for automotive applications. **What You'll do:** + Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection supporting product health. + Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems for technical documentation and automated analysis. + Implement predictive models for failure detection, remaining useful life, and early warnings. + Apply advanced ML techniques such as deep learning, NLP, time-series forecasting, and generative AI. + Create scalable data pipelines and real-time inference systems. + Collaborate with cross-functional teams and mentor junior engineers. + Present insights to both technical and non-technical stakeholders and drive adoption of ML solutions through dashboards and APIs. **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in Computer Science, Engineering, or related field. + 5+ years of experience deploying ML models in production environments. + Expertise in Python and ML frameworks (PyTorch, TensorFlow). + Strong SQL and distributed data processing skills (Spark, Hive). + Real world experience with ML platforms (Databricks, MLflow, Azure ML). + Familiarity with cloud platforms and containerization (Docker, Kubernetes). **What Will Give You A Competitive Edge (Preferred Skills)** + Master's or Ph.D. in a related field. + 8+ years of experience in ML solutions. + Deep expertise with LLMs, RAG architectures, and vector databases. + Knowledge of predictive maintenance, anomaly detection, and automotive diagnostics. + Experience with generative AI technologies and advanced NLP techniques. **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. **- The salary range** for this role is 128,700 and 261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. **- Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: **- Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description Umoja Biopharma is an industry-leading biotech with locations in Seattle, WA and Louisville, CO, focused on transforming the treatment of cancer with a novel integrated immunotherapy platform. Our vision is to develop off-the-shelf therapies capable of treating any tumor, any time. We are a diverse and growing team working in brand-new facilities in downtown Seattle, Washington and Louisville, Colorado, and we are looking for innovative thinkers who are excited by groundbreaking science and technology, and passionate about squaring up to the challenges inherent to cutting-edge drug development. We are committed to our core values and principles that support our overall mission and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja to deliver on our goals. We at Umoja believe in the importance of stories; we are looking for great people to join our team to help us create more stories for ourselves, for you, and most importantly for patients and their families. Umoja Biopharma - Your Body. Your Hope. Your Cure. POSITION SUMMARY Umoja is seeking a Scientist to join the Downstream Process Sciences team. This position will provide scientific technical leadership for purification of lentiviral vectors through process development, characterization, scale up and technology transfer activities. This position will focus on the optimization and characterization of a lentiviral vector manufacturing process, from experimental design through data analysis and communication. This includes hands-on lab execution and applies Quality by Design (QbD) principles to support the development of multiple clinical products and future transition to a commercial process. A successful candidate should have a thorough understanding of purification techniques including chromatography, tangential flow filtration (TFF) and normal flow (NF)/dead end filtration. This is a fully onsite role based out of our Louisville, CO location. CORE ACCOUNTABILITIES Specific responsibilities include: Perform experimental design, execution, data analysis and communication of results for developing optimized and novel purification operations including nuclease treatment, chromatography, TFF, and normal flow sterilizing filtration for lentiviral vector drug substances and products Collaborate on downstream lab routine operations including adherence to lab safety practices, experiment scheduling, equipment and experiment troubleshooting, solution preparation and detailed documentation in electronic lab notebooks Execute purifications in the lab to support clinical program needs as well as optimization studies, which may include routine purifications to support upstream, drug product, or cross-functional groups. This will utilize small pilot scale equipment (AKTA Avant/Pilot/Ready, Repligen Kr2i, Sartorius Vivaflows and Ambr Crossflow, PendoTech NFF, etc) as well as some in-process analytics (pH, conductivity, particle concentration (ie nanoparticle tracking)) Utilize knowledge of purification fundamentals to not only optimize downstream unit operations, but also inform a process characterization and control strategy for commercial readiness Collaborate closely with the process sciences team (upstream, downstream, drug product, optimization), analytical development (AD), Vector Biology (VB) teams, including mentoring junior employees or contractors and aiding cross-functional experimental design Proactively communicate downstream study progress and risks/mitigations to senior internal and external leaders. Present data, strategies and risks to diverse audiences When needed, serve as downstream subject matter expert on Process/CMC team(s) and support multiple program deliverables Identify opportunities for process and laboratory execution improvements Maintain familiarity with current scientific literature, maintain and update knowledge of current and new purification techniques and instrumentation The successful candidate will have: PhD/MS/BS in Biochemistry, Chemical Engineering, Bioengineering, Biology or related field with 0-2/7/10 years of relevant experience, respectively. Equivalent combination of education and experience will be considered. Extensive expertise in operating lab-scale chromatography systems, TFF systems, and other auxiliary equipment such as balances, pumps, and pH/conductivity meters Extensive experience with experimental design, planning, execution, and basic data analysis Strong team communication and collaboration skills, along with self-motivation to contribute to the development of novel cancer immunotherapies Ability to balance multiple priorities in a fast-paced, cross-functional and dynamic environment Preferred Qualifications: Experience with ÄKTATM Chromatography systems and UNICORNTM software Experience with TFF and other filtration equipment including the KrosFlo KR2iTM and Ambr Crossflow systems and PendoTech NFF Experience utilizing statistical design of experiment (DOE) to most efficiently execute multi-parameter optimization and design space mapping Experience in clinical phase process development, tech transfer to a manufacturing scale and working in GxP environments Familiarity with Quality-by-Design principles (QbD), small scale model qualification and process characterization for a process control strategy Working knowledge of analytical methods (e.g., nanoparticle tracking (Videodrop), flow cytometry, PCR, ELISA, HPLC) Familiarity with upstream process operations including depth filtration, centrifugation, shake flasks and bioreactors, as well as drug substance and drug product process operations (container closure selection, fill/finish operations) Experience working with electronic lab notebooks Physical Requirements: 100% compliance with personal protective equipment (PPE) requirements in biological laboratory environments for wet lab work, including gloves, protective clothing, and eye safety glasses. Perform physical tasks required for the role, including standing, walking, bending, kneeling, sitting, working your hands in a biosafety cabinet, and occasionally moving materials up to 50 pounds. Project-oriented work in this role will require regular on-site presence to complete essential job-related functions. Salary: $124,440 - $153,720 Benefits Offerings Umoja Biopharma offers its employees competitive Medical, Dental, and Vision plans. Additionally, we offer Umojians access to a 401k plan through Fidelity, with a 100% match up to their first 4% deferral. Umoja also provides a generous Paid Time Off policy, employee commuter benefits, and cell phone stipend. For a full breakdown of our benefits offerings, please see the Benefits section of our website.

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi , the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit **************** Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases Develop tools and processes to create data pipelines for ML training and customization Finetune LLMs for the healthcare domain Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Participate in code reviews, testing, and quality assurance processes. Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. Document and communicate research and development processes, and architectural decisions. Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. All employees are responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. Strong proficiency in Python and familiarity with ML libraries such as PyTorch. Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc. Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.). Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. Passion for customer, innovation, product quality The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. Good written communication skills that enable collaboration in a remote environment. Experience in healthcare or life sciences is a plus. Salary Range$150,000-$190,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at *********************************************

The R&D Team at Tomorrow.io is a dynamic mix of scientists and engineers. Our mission is to generate the best and most novel data and models across all times: historical, real-time, and forecast. The story just begins when the data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that needs to be run quickly and continuously, in an operational environment. We are the team that builds the architecture behind the data and the models, preparing the weather analyses for the Product and Engineering team to serve the masses. We are seeking a Machine Learning Scientist to help improve Tomorrow.io's weather forecast performance to deliver more accurate weather insights to our customers. In this role, you will apply atmospheric science knowledge and modern machine learning techniques to develop, evaluate, and operationalize forecast improvements across Tomorrow.io's weather products. You will work collaboratively from proof-of-concept through deployment, focusing on measurable gains in forecast skill and reliability in an operational environment. Please note that this position is a hybrid role, and the team collaborates in person twice weekly at our Golden, Colorado office. What you'll do: Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from Tomorrow.io's satellite constellation. Develop, verify, and document forecast improvements that provide measurable value to customers. Partner with engineering and product teams to transition research advances into scalable, operational systems. Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications. Contribute broadly to improving Tomorrow.io's forecast skill and overall product performance. What you bring: Graduate degree in atmospheric science, meteorology, computer science, or a related field. 2+ years of professional experience applying deep learning to weather prediction or related geoscience problems. Strong machine learning engineering fundamentals, including model training, validation, evaluation, and documentation. Experience working in cloud-based computing environments. Experience handling large meteorological datasets and common data formats at scale. Experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow). Strong written and verbal communication skills. Ability to manage multiple projects and balance competing priorities. So, if you're looking to join a team that is not only at the forefront of innovation but also working towards building the biggest weather platform in the world, this is the place for you! If your experience is close but only fulfills some requirements, please apply. Tomorrow.io is on a mission to build a special company. We are focused on hiring people with different backgrounds, perspectives, and experiences to achieve our goal. This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained. Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law. At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated salary range for this role is $125k-$145k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles. Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at **************** About Tomorrow.io: Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io. Ethos: Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first. How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Job Brief: As a Senior Atomic Clock Scientist, you will play a critical role in the development of innovative atomic clock solutions that drive the company's mission forward. The ideal candidate must have demonstrated the ability to set up their own experiments and drive results independently while also collaborating across teams and contributing to product development. Your primary responsibility will be to Design, prototype and test miniaturized optical, mechanical, and electrical systems for chip-scale quantum sensors and atomic clocks. Required Background: PhD or equivalent industry experience in atomic, optical, quantum physics, or 3 years of related academic or industry experience Optical, trapped Ion, or microwave atomic clocks Deep Technical Expertise in the Areas of: Precision spectroscopy Narrow linewidth lasers and laser frequency stabilization Optics, fiber optics, electro/acousto-optics, detectors Analog, digital, and RF electronics Control systems and instrumentation

University of Colorado Anschutz Medical Campus Department\: Ophthalmology Job Title\: Research Scientist - CellSight #00841096 - Requisition #38036 Job Summary: CellSight , the Ocular Stem Cell and Regeneration Research Program at the Department of Ophthalmology at the University of Colorado, Anschutz Medical Campus, seeks several full-time (1.O FTE) research scientist to carry out research in the areas of retinal biology, stem cell technologies, and regenerative medicine. CellSight is a cross-disciplinary team of investigators working in a highly collaborative environment with the common goal of developing novel stem cell-based therapeutics to treat ocular diseases. For more information about research performed by CellSight teams please visit\: https\://medschool.cuanschutz.edu/ophthalmology/research/cellsight-program The successful candidates will be involved in a research project aimed at establishing an innovative regenerative strategy to treat retinal degenerative diseases. This is an exciting, new line of work using cutting-edge technology in the stem cell field and we are looking for motivated and independent scientists willing to contribute with technical expertise and knowledge. There is no direct patient care or contact involved in this position. Main responsibilities include developing and carrying out research projects using stem cell culture and retinal organoid tissues along with cell, developmental and molecular biology techniques. Duties include publishing and communicating research results in both oral and written formats and assisting with the training and mentoring of students and technicians. Key Responsibilities: Designing, planning and conducting research studies from inception to completion Performing experiments using human induced pluripotent stem cell (hi PSC) cultures, retinal organoid tissues, and other molecular, developmental and cell biology techniques as needed Analyzing and interpreting research results. Maintaining effective communication with the principal investigator and other team members Keeping an organized record of research experiments and results Assisting in the training and mentoring of students and technicians Preparing manuscripts for publication in scientific journals Participating in lab meetings and attending scientific seminars and conferences Work Location: Onsite - this role is expected to work onsite and is located in Aurora, CO. Why Join Us: Our department's home is the newly expanded Sue Anschutz Rodgers Eye Center on the Anschutz Medical Campus. This state-of-the-art facility is one of the largest eye centers in the country and serves not only patients in the Rocky Mountain region but also patients all over the world. The technological innovations conceived and developed by Departmental faculty have changed the practice of eye care throughout the world. Our educational programs train the next generation of leaders in ophthalmology. Our specialists have developed national and international reputations for excellence in routine and complex ophthalmic care. We have invested heavily in tracking our clinical outcomes and we are proud that our clinicians perform at the highest levels in their respective fields. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including: Medical\: Multiple plan options Dental\: Multiple plan options Additional Insurance\: Disability, Life, Vision Retirement 401(a) Plan\: Employer contributes 10% of your gross pay Paid Time Off\: Accruals over the year Vacation Days\: 22/year (maximum accrual 352 hours) Sick Days\: 15/year (unlimited maximum accrual) Holiday Days\: 10/year Tuition Benefit\: Employees have access to this benefit on all CU campuses ECO Pass\: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Graduation from an accredited college or university with a MD/PhD or PhD in a relevant biomedical science discipline Minimum of 3 years of research experience in vision science Preferred Qualifications: Previous experience with stem cell culture techniques Previous experience in 3D organoid differentiation, retinal organoids Strong understanding of the pathophysiology of retinal degenerative diseases Expertise in retinal pigment epithelium and photoreceptor physiology, including interphotoreceptor matrix composition and function Expertise in retinal electrophysiology, ERG and ORG Experience performing retinal surgeries and follow up post-operative evaluation Previous experience in working with hydrogel platforms for cell delivery Experience with cell, developmental, and molecular biology techniques A strong publishing record Knowledge, Skills and Abilities: Strong team player with excellent customer service and interpersonal skills and has the ability to work with a diverse group and competing interests. Strong verbal and written communication skills with the ability to effectively explain processes and procedures. Excellent time management and organizational skills with the ability to work independently, prioritize tasks, work under tight deadlines. Flexibility and the ability to adapt to various situations. Ability to take direction and use independent judgment to complete assigned tasks. Excellent attention to detail. Analytical and reasoning ability. Ability to represent the department and University in a professional manner with tact and diplomacy. How to Apply: For full consideration, please submit the following document(s): 1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position 2. Curriculum vitae / Resume 3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************** Questions should be directed to\: Ashley Woodhouse ******************************* Screening of Applications Begins: Immediately and continues until position is filled. For best consideration, apply by November 1, 2025. Anticipated Pay Range: The starting salary range ( or hiring range ) for this position has been established as HIRING RANGE: $75,000 to $95,000 The above salary range ( or hiring range ) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator\: http\://********************** Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ****************************** . Background Check Statement: The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement: CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

We understand that the world we want tomorrow starts with how we do business today, and that's why we're inspired to make A Better World for Pets. Antech is comprised of a diverse team of individuals who are committed to each other's growth and development. Our culture is centered on our guiding philosophy, The Five Principles: Quality, Responsibility, Mutuality, Efficiency and Freedom. Today Antech is driving the future of pet health as part of Mars Science & Diagnostics, a family-owned company focused on veterinary care. Current Associates will need to apply through the internal career site. Please log into Workday and click on Menu or View All Apps, select the Jobs Hub app, then click the magnifying glass to Browse Jobs. The Target Pay Range for this position is as follows: • Loveland, Colorado: $82,000- $102,000 annually. • New York City: $89,000- $112,000 annually At Antech, pay decisions are determined using factors such as relevant job-related skills, experience, education, training and budget. Job Purpose/Overview We are seeking an AI Scientist to join our R&D organization, focusing on computer vision tasks and basic data engineering responsibilities. The ideal candidate will have a strong foundational knowledge in training deep learning models (e.g., PyTorch) and be proficient in Python and pandas. A strong work ethic, effective communication skills, and eagerness to learn are essential for this role. Experience with Azure Cloud is a plus. Essential Duties and Responsibilities Support Computer Vision Projects Assist in the development, training, and evaluation of computer vision models for veterinary diagnostic applications Conduct experiments under the guidance of senior team members, ensuring rigorous testing and documentation Contribute to Data Engineering Help maintain and improve basic data pipelines for data ingestion, cleaning, and transformation Model Deployment and Integration Participate in model deployment processes, including testing, monitoring, and troubleshooting in a production environment Work closely with software engineers to integrate computer vision solutions into larger systems or applications Continuous Learning and Collaboration Proactively seek feedback and mentoring from senior scientists and team leads Stay current with emerging deep learning techniques, tools, and industry trends Present findings and results in a clear, concise manner to both technical and non-technical stakeholders Adhere to Best Practices Follow clean code and version control guidelines to maintain high-quality project repositories Document key processes and learnings for future reference and knowledge sharing Education and Experience Bachelor's degree in Computer Science, Data Science, Engineering, or a related field Basic understanding of deep learning principles and hands-on experience with frameworks like PyTorch Proficiency in Python for data analysis, model development, and scripting Familiarity with data manipulation libraries (e.g., pandas, NumPy) Awareness of software development best practices (version control, clean code principles) Knowledge, Skills and Abilities Familiarity with Azure Cloud services for data storage or model deployment Experience with containerization (e.g., Docker) or CI/CD pipelines Strong work ethic and the ability to take initiative Eagerness to learn and adapt to new tools, frameworks, and methodologies Good communication skills, both written and verbal, to effectively collaborate with cross-functional teams Team player who can work collaboratively with senior data scientists, engineers, and domain experts Travel Will there be notable travel in this position? Percent of time: 5% (based on location may increase) Working Conditions Complete how the job gets done and the way it operates The associate is regularly required to apply manual dexterity, including hand/wrist flexibility, for computer keyboarding. The associate frequently is required to sit for extended periods of time, stand, walk, and reach with hands and arms. The associate is frequently required to hear and speak in order to use the telephone, make presentations and communicate with people in an office environment. The associate is occasionally required to sit and stoop, bend, kneel, or crouch. The associate must occasionally lift and/or move up to 15 pounds. The associate will primarily work in a typical office environment including use of cubicles, computers and overhead lighting. Temperature extremes will be minimal to nonexistent. The noise level in the work environment is usually moderate. The associate will be required to use a computer, spreadsheets, database management, email, and the Internet. The associate is frequently required to use a calculator; fax, copy machine, and phone system. The associate must occasionally use media equipment such as an overhead projector, PowerPoint, and Microsoft Teams. About Antech Antech is a leader in veterinary diagnostics, driven by our passion for innovation that delivers better animal health outcomes. Our products and services span 90+ reference laboratories around the globe; in-house diagnostic laboratory instruments and consumables, including rapid assay diagnostic products and digital cytology services; local and cloud-based data services; practice information management software and related software and support; veterinary imaging and technology; veterinary professional education and training; and board-certified specialist support services. Benefits Antech offers an industry competitive benefits package and continues to invest in and evolve benefits programs that meet the health, wellness and financial needs of our associates. Benefits eligiblity is based on employment status. Paid Time Off & Holidays Medical, Dental, Vision (Multiple Plans Available) Basic Life (Company Paid) & Supplemental Life Short and Long Term Disability (Company Paid) Flexible Spending Accounts/Health Savings Accounts Paid Parental Leave 401(k) with company match Tuition/Continuing Education Reimbursement Life Assistance Program Pet Care Discounts Commitment to Equal Employer Opportunities We are proud to be an Equal Opportunity Employer - Veterans / Disabled. For a complete EEO statement, please see our Career page at Antech Careers. Note to Search Firms/Agencies Antech Diagnostics, Inc. and its subsidiaries and affiliates (Antech) do not compensate search firms for unsolicited assistance unless they have a written search agreement with Antech and the requisition is position-specific. Any resumes, curriculum vitae, and other unsolicited assistance from search firms that do not have a written search agreement or position-specific requisition submitted to any Associate of Antech will be deemed the sole property of Antech and no fee will be paid in the event the candidate is hired by Antech.

Join a team of biological scientists in a fast-paced work environment as a member of the Bioassay group within Characterization Services (CS). Responsible for both leading and supporting bioassay method development projects and analytical testing for biopharmaceutical product characterization studies. The ideal candidate is self-motivated with a high attention to detail, able to quickly and accurately generate results, works well in teams, is capable of independent learning, and has a natural scientific curiosity. Job Responsibilities: Lead and support bioassay method development and analytical testing projects using prior technical expertise. Independent design and execution of experiments with a focus on ELISA and cell-based bioassays. Technical point of contact for client bioassay projects. Presentation of experimental results in team and client meetings. Technical writing of summary reports detailing study execution and results. Ability to coach, mentor, empower, and inspire junior staff. Detailed recording and analysis of experiments in an electronic laboratory notebook (ELN). Routine maintenance and troubleshooting of lab equipment. Occasional use of liquid handling automation for performing assays. Adherence to strict laboratory safety guidelines. Required Competencies: Technical Knowledge: Method development of ELISA and/or cell-based bioassays Technical Writing: Ability to author high quality, detailed technical documentation Self-Motivation: Ability to work independently with a desire to take on additional responsibilities as they arise. Active Learner: Ability to learn new processes and procedures and adjust to fluctuations in workload. Seeks out opportunities to learn new information and improve processes. Collaboration: Ability to work with multiple teams to meet client needs in a dynamic environment. Communication: Possesses good written and verbal communication skills. Communicates effectively with clients, scientific staff, managers, and vendors. Detail-Oriented: Pays great attention to detail in a multitasking environment to ensure accuracy. Organization: Ability to maintain organization of space, documentation, and materials to ensure smooth workflow and tracking. Preferred Competencies: Technical Knowledge: Cell culture and/or sterile technique. Technical Knowledge: MSD-ECL (Electrochemiluminescence-based ELISA) Technical Knowledge: Flow cytometry and/or other bioanalytical techniques. Educational Requirements: Scientist I (one of the following) Ph.D. and 0-3 years of related lab experience. M.S. degree and 5+ years of related lab experience. B.S. degree and 8+ years of related lab experience. Scientist II (one of the following) Ph.D. and 3+ years of related lab experience. M.S. degree and 7+ years of related lab experience. B.S. degree and 10+ years of related lab experience. Salary Range: Scientist I: $84,000 - $115,500 Scientist II: $100,000 - $125,000 Salary range provided per current averages and expectations. The salary and job title for this opening will be based on the selected candidate's qualifications and experience and may be outside this range. KBI has a robust total rewards strategy which includes an annual bonus structure for all employees, medical, dental, and vision coverage, paid PTO and holidays, 401K matching with 100% vesting in 60 days and employee recognition programs. KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply. I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me. If I am hired, I understand that either KBI Biopharma, Inc. or I can terminate my employment at any time and for any reason, with or without cause and without prior notice. I understand that no representative of KBI Biopharma, Inc. has the authority to make any assurance to the contrary. I attest with my signature below that I have given to KBI Biopharma, Inc. true and complete information on this application. No requested information has been concealed. I authorize KBI Biopharma, Inc. to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal.

**What does Clinical Affairs contribute to Cardinal Health** The Clinical Affairs function manages the clinical education, medical writing and communications, research, health care economics and patient safety while ensuring compliance with applicable regulatory and governing requirements for Cardinal Health products and services. Medical Writing is a specialized role that creates clear, accurate, and compliant documents to communicate complex clinical and scientific data. It supports regulatory submissions, clinical research, and scientific communications by interpreting data and producing protocols, reports, regulatory dossiers, presentations, congress abstracts, and peer-reviewed publications, all in alignment with industry and regulatory standards. **Responsibilities:** The Senior Medical Writer will plan and develop high quality clinical documents to support Cardinal Health devices. Primary responsibilities include preparing Clinical Evaluation Reports (CERs), Post Market Plans & Reports (PMS and PMCF) as required by EU regulations. Additional responsibilities include providing input for product development and post-market sustaining core teams. Additional responsibilities may be assigned. The Senior Medical Writer has medical writing and project management experience, a thorough understanding of research methodology and the ability to develop high-quality clinical documents. Extensive knowledge of the European medical device guidelines/regulations such as MEDDEV and MDD/MDR is required, as well as other global requirements for clinical evaluation and PMS/PMCF. The Senior Medical Writer has the ability to lead cross-functional project teams. **Qualifications** + 8-12 years of experience, preferred + Bachelors in life science discipline; master's degree or PhD preferred or equivalent work experience. **Additional skills:** + Proven experience performing literature reviews, analyzing data and communicating outputs. + Ability to provide thorough peer reviews of team members' documents for completeness and correctness of data analysis & regulatory requirements. + Experience working within a medical device or pharmaceutical organization in a Research & Development, Scientific and Medical Affairs, Clinical or Regulatory role. + Experience writing scientific documents for regulatory or journal submissions + Experience presenting scientific/clinical evidence in a written and oral manner to cross-functional teams. + Demonstrated ability to build positive constructive relationships with cross-functional team members + Demonstrated high level of personal integrity, emotional intelligence, flexibility + Extensive knowledge of MDD, MDR and MEDDEV requirements, along with other applicable global requirements for clinical evaluation and PMS/PMCF + Experience creating and performing literature searches in Embase, PubMed and Google Scholar + Excellent working knowledge of Microsoft Word, Excel, PowerPoint. + Proficient in using EndNote or other reference manager software + Strong data extraction and analysis skills + Proactive with a sense of urgency in managing job responsibilities + Recommends new practices, processes, metrics or models **What is expected of you and others at this level** + Applies advanced knowledge and an understanding of concepts, principles and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions that may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range** : $123,400 - $149,855 **Bonus eligible** : Yes **Benefits** : Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs Application window anticipated to close: 2/6/2026*if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-MP1 \#LI-remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************