Applied Scientist
Remote job
About the company:
The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.
KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists.
KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi.
About The Role:
In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field.
With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities of this position include:
Technical execution
Design, develop, and deploy new mineral exploration data collection instruments and methods.
Help develop KoBold's proprietary software exploration tools.
Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.
Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods
Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries
Qualifications
Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting.
Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.
A successful track record of developing complex equipment with cross-disciplinary teams and vendors.
Technical skills, including extensive experience with:
Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity.
Applying scientific knowledge to identify and prototype emerging technologies
Systems integration and data acquisition.
Python's data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
SQL, as well as familiarity with non-relational databases.
Cloud computing resources.
Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.
Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems.
Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources
Experience deploying sensors in the field
Work practices and motivation:
Ability to take ownership and responsibility of large projects.
Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.
Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
Ability to independently prioritize multiple tasks effectively.
It is also helpful but not required to have experience with:
Remote sensing
Creating machine learning models on geospatial data
Image processing or computer vision
Project and team management
KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.
This position is Full-time Exempt
Salary is one part of KoBold's total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave."
Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.
Auto-ApplyPharmacovigilance Scientist
Remote job
About Us:
Oruka Therapeutics (Nasdaq: ORKA) is developing novel biologics designed to set a new standard for the treatment of chronic skin diseases. Oruka's mission is to offer patients suffering from chronic skin diseases like plaque psoriasis the greatest possible freedom from their condition by achieving high rates of complete disease clearance with dosing as infrequently as once or twice per year. Oruka is advancing a proprietary portfolio of potentially best-in-class antibodies that were engineered by Paragon Therapeutics and target the core mechanisms underlying plaque psoriasis and other dermatologic and inflammatory diseases. For more information, visit ***************
As we build our core team, we're seeking top talent in different functional areas who are not just looking for a job, but an opportunity to be part of something bigger. Someone who is passionate about making a difference and eager to contribute to establishing an engaged, inclusive, and positive company culture.
Job Title: Pharmacovigilance Scientist
Location: Remote
Role Overview:
The Pharmacovigilance Scientist plays a critical role in the collection, evaluation, and management of drug safety data throughout clinical development. This role supports the monitoring and assessment of adverse events, safety signal detection, and risk management activities to safeguard patient safety and ensure regulatory compliance. The Pharmacovigilance Scientist collaborates with cross-functional teams to maintain the integrity of safety data and contributes to the preparation of safety-related documentation, presentations and aggregate reports. They work closely with the Senior Medical Director, Pharmacovigilance and Safety, to execute pharmacovigilance strategies.
Key Responsibilities:
Safety Data Collection and Review:
Collects, reviews, and analyzes adverse event reports from clinical trials to identify potential safety signals
Supports quality control review of individual case safety reports (ICSRs)
Assists in ongoing safety monitoring activities, including data reconciliation and quality checks to ensure accuracy of safety data.
Supports safety data management activities, including case processing, follow-up, and coding of adverse events
Risk Assessment and Signal Detection:
Assesses clinical safety data to identify, evaluate, and document adverse events and emerging safety concerns.
Contributes to risk-benefit analyses and supports the development of risk mitigation strategies
Pharmacovigilance Documentation:
Supports the preparation and review of pharmacovigilance documents such as Development Safety Update Reports (DSURs), development Risk Management Plans (dRMPs), and relevant sections of clinical trial protocols, IBs and regulatory submissions
Proficient with safety surveillance systems and tools (e.g., Argus, MedDRA, Veeva Vault)
Scientific Expertise:
Maintains current knowledge of relevant therapeutic areas, pharmacology, and drug safety regulations
Conducts literature reviews and safety signal assessments to inform safety evaluations
Cross-Functional Collaboration:
Works closely with clinical operations, regulatory affairs, medical affairs, data management, bioinformatics and project management teams to ensure comprehensive safety oversight
Supports compliance with global pharmacovigilance regulations and company safety policies
Supports the communication and oversight of pharmacovigilance and contract research organization vendors
Supports the project management of safety activities such as aggregate reports, safety team meetings, signal evaluations, etc.
Qualifications:
Advanced degree in life sciences (e.g., PharmD, PhD) or related field
Minimum of 3 years of experience within the pharmaceutical industry, ideally including drug safety experience
Knowledge of good pharmacovigilance practices, drug safety regulations, and clinical trial processes
Understanding of pharmacovigilance regulatory practices including CIOMS, EMA, ICH and FDA guidelines
Experience with adverse event data review, safety signal detection, and safety database management (e.g. Argus, MedDRA, Veeva Vault)
Strong analytical, communication and presentation skills
Strong organizational and project management skills
Ability to collaborate effectively across multidisciplinary teams in a fast-paced environment
Compensation:
An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity.
The anticipated salary range for candidates, Scientist I is $125,000-140,000 and Scientist II is $140,000-155,000 . The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states.
If located within one of our offices in Waltham, MA or Menlo Park, CA, you will be required to go into office 3 days a week.
We're looking forward to hearing how you can contribute to our team and mission. Join us in shaping the future of our company and making a real impact every day.
Salary Range for the Role$125,000-$155,000 USD
What We Offer:
A chance to be part of a vibrant startup culture where your work can directly impact bringing new medicines to patients.
Competitive salary and benefits package.
A supportive and inclusive team environment where everyone is encouraged to bring their authentic selves to work.
Opportunities for professional growth and development.
Auto-Apply
Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn.
Job Overview
We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Scientist II. This position will be part of the Translational Research and Medicine-Oncology team, with a primary focus on advancing translational research to support oncology programs in clinical trial stages. This individual will be responsible for designing, oversighting, and interpretating translational studies to understand mechanism of action, resistance pathways, and potential new indications. The candidate may also be involved in biomarker analysis to support these translational objectives.
Job Duties and Responsibilities
Develop hypotheses by integrating insights from scientific literature, preclinical and clinical data
Design experiments to support identification of mechanism of action, resistance mechanisms, and potential indications
Manage translational research and biomarker studies conducted with CROs and academic investigators to ensure high-quality, timely delivery of data
Maintain organized, detailed logs of studies and data to ensure accuracy, reproducibility, and compliance with regulatory standards
Present data and insights in internal meetings and cross-functional program team discussions
Key Core Competencies
Scientific curiosity with ability to generate and test hypotheses that inform drug development
Excellent problem-solving and critical-thinking skills to interpret complex data
Strong organizational skills and attention to detail in managing studies, data, and documentation
Strong project management and vendor oversight skills
Adaptability and resilience in a fast-paced, evolving research environment
Education and Experience
PhD degree in a related field of science (Biology, Biochemistry, Molecular & Cellular biology, Cancer Biology, Immunology)
1-3 years of postdoctoral or industry research experience
Familiarity with oncology research preferred
Experience with common biomarker platforms (e.g. NGS, flow cytometry, IHC) preferred
The base salary range for this role is $102,000 to $127,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law.
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential.
Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time.
Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer
Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
Auto-ApplyModern AI Scientist
Remote job
Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description:
AI Scientist - Modern AI Applications
3M Health Care is now Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.
The Impact You'll Make in this Role
As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.
Key Responsibilities
Research & Innovation
Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
Healthcare-Focused AI Development
Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.
Technical Leadership
Serve as the primary technical authority on Agentic and Generative AI within project teams.
Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.
Operational & Compliance Excellence
Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).
Partner with engineering to move research prototypes into production environments.
Required Qualifications
Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
Or
PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models.
Experience in Python, R, and modern ML libraries.
Experience with GenAI, LLMs, and transformer architectures.
Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
Preferred Skills
Multi-modal AI research experience (text, image, structured data).
Knowledge graph integration and symbolic reasoning expertise.
Proven ability to take AI research from concept to production.
Hands-on experience with autonomous AI agents and reasoning systems.
Strong track record applying AI to healthcare or life sciences use cases.
Familiarity with cloud platforms (AWS) and MLOps practices.
Work location:
US Remote
Travel: May include up to 10% domestic
Relocation Assistance: Is not authorized
Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status).
Supporting Your Well-being
Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.
Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Solventum Global Terms of Use and Privacy Statement
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.
Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the
terms.
Auto-Apply
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at ************* or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
About the role
Absci is seeking AI Scientists to join its team of experts advancing generative and predictive modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop AI models that generate and evaluate antibody therapeutic candidates. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies
in silico
.
Absci's computational teams (including its AI Scientists) develop and validate software platforms for antibody design and
in silico
assessment, while its Wet Lab teams experimentally validate its AI platforms, and its Drug Creation teams translate experimentally-validated AI designs into clinically-viable therapeutics.
The ideal AI Scientist candidate will:
Care as much about solving the technical problems related to designing antibody therapeutics as they do about translating solutions to the clinic;
Use their expertise to influence the AI team's research agenda while maintaining high levels of responsibility and accountability for their work;
Demonstrate their curiosity about the problems we are attempting to solve by developing proficiency in disciplines that fall outside their own areas of expertise, constantly increasing the scale and impact of their contributions;
Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise.
Why Absci's AI team?
Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning models, but also apply these models in real-time to generate candidate antibody therapeutics. In particular:
Absci provides its AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment.
Absci maintains its own Wet Lab, enabling AI Scientists to validate novel modeling methods via both
in silico
and
in vitro
experimentation.
Absci maintains and is growing its own internal pipeline of assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients.
This position can be remote, hybrid, or onsite in New York, NY or Vancouver, WA.
Key Responsibilities
Develop state-of-the-art deep learning models for structure-based antibody design, antibody sequence design, antibody-antigen co-folding, antibody-antigen binding prediction, and physics-based antibody design and evaluation
Partner with teammates in AI Research, Platform Engineering, and Computational Biology to identify key challenges and design innovative, AI-driven solutions
Analyze
in silico
and
in vitro
validation results to iteratively improve design and evaluation methodologies
Deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design
Qualifications
PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience
Fluency in Python and PyTorch
Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction
Expertise in large-scale model training
Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment
Demonstrated experience presenting complex technical work to diverse audiences
Strong publication record in respected, high-impact journals and conferences
Absci's AI team does not accept and is not responsible for fees related to unsolicited agency resumes.
Compensation and Benefits
The base salary range for this position is $160,000- $260,000. The range provided is based on what we believe is a reasonable estimate for the base salary range for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
Absci offers highly competitive salaries and benefits including medical, dental, and vision insurance, unlimited vacation, parental leave, employee assistance programs, voluntary life and disability insurance, annual bonus potential, the ability to participate in our employee stock purchase plan, a 401(k) with a generous company match, and so much more.
Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should request the recruiter or hiring manager or contact ****************.
Auto-ApplyOptimization Scientist (1099 Contract)
Remote job
AI
RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.
In today's dynamically changing world, DEFCON AI's technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
About the Optimization Scientist Position
Are you passionate about driving innovation through advanced mathematical modeling? Does working in a multi-disciplinary team that addresses a diverse range of complex problems get you excited? If so, we have an exciting opportunity for you as an Optimization Scientist in the Tech Development and Analytics team at DEFCON AI.
We're currently looking for creative, smart, and humble teammates who want to join our group of world-renowned researchers as we push the boundaries applying AI to complex problems. As an Optimization Scientist, you will be at the forefront of driving the development and deployment of our latest optimization models to production. If you're a forward-thinking, technically adept individual with a passion for mathematical modeling and optimization, this role is for you.
This role is a 1099 contract opportunity, with full time hours.
Responsibilities:
Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights.
Design and implement novel heuristics and optimization models to solve complex problems in various industries, ensuring efficiency and scalability.
Stay up to date with the latest advancements in decision science and implement best practices for our customers.
The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely.
Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions.
Qualifications:
Demonstrated expertise in building mathematical optimization models for complex real-world problems
The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more
Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike
An advanced degree in Operations Research, Industrial Engineering, Physics, Mathematics, or a related technical field
U.S. citizenship is required
Preferred Qualifications:
Experience with cloud-based SAAS products and pipelines
Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi)
A Ph.D. with a focus on Optimization
Experience in modeling transportation and logistics
Publications in scientific journals and/or conferences
We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. www.
Auto-ApplyOptimization Scientist (1099 Contract)
Remote job
About Us
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.
About the Optimization Scientist Position
Are you passionate about driving innovation through advanced mathematical modeling? Does working in a multi-disciplinary team that addresses a diverse range of complex problems get you excited? If so, we have an exciting opportunity for you as an Optimization Scientist in the Tech Development and Analytics team at DEFCON AI.
We're currently looking for creative, smart, and humble teammates who want to join our group of world-renowned researchers as we push the boundaries applying AI to complex problems. As an Optimization Scientist, you will be at the forefront of driving the development and deployment of our latest optimization models to production. If you're a forward-thinking, technically adept individual with a passion for mathematical modeling and optimization, this role is for you.
This role is a 1099 contract opportunity, with full time hours.
Responsibilities:
Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights.
Design and implement novel heuristics and optimization models to solve complex problems in various industries, ensuring efficiency and scalability.
Stay up to date with the latest advancements in decision science and implement best practices for our customers.
The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely.
Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions.
Qualifications:
Demonstrated expertise in building mathematical optimization models for complex real-world problems
The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more
Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike
An advanced degree in Operations Research, Industrial Engineering, Physics, Mathematics, or a related technical field
U.S. citizenship is required
Preferred Qualifications:
Experience with cloud-based SAAS products and pipelines
Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi)
A Ph.D. with a focus on Optimization
Experience in modeling transportation and logistics
Publications in scientific journals and/or conferences
We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Auto-ApplyVariant Assessment Scientist I - Oncology (REMOTE, USA)
Remote job
Compensation:
$95,000 - $110,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 5% of your annual earnings; terms and conditions apply.
Variant Assessment Scientist I, Oncology - Remote US
Responsibilities include variant analysis of diagnostic molecular genetic test results; evaluation of published literature, clinical data and review of both functional and in silico data to provide accurate, thorough, and thoughtful clinical interpretation of results. Write research articles in collaboration with other medical professionals and colleagues outside and inside the organization, if data is relevant to the scientific community. Additional responsibilities as designated by supervisor/manager and/or with increasing seniority (Variant Assessment Scientist II, Senior Variant Assessment Scientist).
Essential Functions
Write and interpret molecular test results, including relevant medical literature reviews and summary
Participate in updating variant classification guidelines and developing gene specific classification guidelines
Research novel ways to assess sequence variants
Manage and follow guidelines of variant pre-classification workflow to maximize reporting results within published turn-around times
Assist in the development of gene specific tools and database of gene specific information for variant assessment
Other duties as assigned
Qualifications
PhD and/or MD with expertise in molecular genetics, human genetics, molecular pathology or related field
MS in molecular biology, genetics or a related field with exceptional expertise and outstanding job performance is also considered
Thorough and ongoing knowledge of current theories and principles of human genetics
Excellent written and verbal communication skills to convey difficult information in a clear, kind, and respectful manner
Willingness and ability to work in and contribute to a fast-paced, highly collaborative environment
Preferred:
Prior experience in oncology and variant assessment
#LI-AC1 #LI-REMOTE
PRIVACY NOTICES
To review Ambry's Privacy Notice, Click here: *********************************************
To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics
To review the UKG privacy notice, click here: California Privacy Notice | UKG
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Auto-ApplyMachine Learning Scientist (Remote Allowed)
Remote job
NOMA AI Mission:
NOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S.
The Opportunity:
NOMA AI Inc. is looking for candidates for a machine learning research engineer position to participate in developing cutting -edge machine learning and data analytic solutions in healthcare. The successful applicant will participate in the development, research, evaluation, and deployment of machine learning methodologies for real -time clinical decision systems, patient monitoring, and alerting solutions. Our team includes individuals with strong machine learning, software engineering, and healthcare backgrounds. In addition, we wish to reach out to talented individuals who are passionate about revolutionizing healthcare and who are interested in:
Working on problems that are at the forefront of both industry and scientific research in ML for healthcare
Researching, developing, and deploying real -time machine learning -based AI tools in healthcare.
Achieving long -term and ambitious product development goals while identifying intermediate milestones
Being independent problem solvers while operating in a collaborative environment
Requirements
Qualifications:
Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field
Relevant publications
Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems
Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit -learn, PyTorch, TensorFlow
Experience working with high -frequency signal and waveform data
Experience with time -series data, high -frequency data, prediction modeling, and imbalanced data
Expert Knowledge of Python.
Have experience in working and collaborating with others on team projects
Ability to deliver with limited guidance, working on problems that are not structured
5+ years of programming experience
Preferred Qualification:
Experience with medical data, electronic health records, biosensor data, etc.
Experience with real -time environments and model deployment
Experience with major cloud environments and other distributed systems
Interest and experience in software engineering (data pipelines)
BenefitsHealth insurance, 401(k), vision, dental, PTO, maternity/paternity leave,
Fishery Restoration Scientist
Remote job
Seeking a Fishery Restoration Scientist to support NOAA Fisheries in executing analytical, technical, and field-related tasks across multiple habitat conservation and environmental review programs. This position will work closely with the NOAA Project Lead (PL) to evaluate project impacts, conduct habitat analyses, support regulatory reviews, and develop high-quality technical deliverables. The work will be performed in a fully remote capacity, with only a limited possibility of occasional travel within the east coast regions of Florida, South Carolina, North Carolina, or Georgia.
The task includes the following:
* Review study objectives developed by the Southeast Region and project partners, identify optimal field study locations, manage partner-provided datasets, develop associated metadata, and recommend practicable refinements to future field efforts. Deliver short technical reports and data files and incorporate all NOAA PL comments into final documentation.
* Analyze project-specific data to evaluate compliance with hydropower facility license conditions, with particular attention to fish passage and flow prescriptions. Deliver concise written reports for each facility and revise final documentation in response to NOAA PL comments.
* Assess effects to Essential Fish Habitat (EFH) and evaluate proposed mitigative measures for offshore wind energy projects using data provided. Prepare short written reports and develop briefing materials suitable for NOAA senior leadership summarizing project objectives, expected impacts, benefits, and anticipated schedules. Address all NOAA PL comments in final deliverables.
* Review dredging operation data and coral condition information for the Port Everglades and Port Miami project areas. Evaluate potential effects to coral habitat, recommend mitigation measures to offset expected impacts, and deliver a written report containing habitat characterizations and supporting GIS files with appropriate metadata and Google Earth files. Address all NOAA PL comments in final documentation.
* Conduct EFH, Fish and Wildlife Coordination Act (FWCA), and Fish and Wildlife Planning Assistance (FPA) analyses for proposed construction and restoration projects. Maintain a current understanding of diadromous, estuarine, and reef fish habitats, key environmental pressures, and conservation partnerships across Southeast U.S. watersheds. Use GIS to prepare maps and manage spatial data for analysis, and produce written reports and briefing materials with complete responses to NOAA PL comments.
* Submit electronic monthly progress reports that clearly correlate cost, level of effort, activity descriptions, and accomplishments for the reporting period.
Requirements
* Knowledge of fish and habitat ecology, environmental conservation principles, and habitat impact assessment methodologies.
* Experience conducting data analysis, preparing technical summaries, and managing fisheries or environmental datasets.
* Experience using GIS software for spatial analysis, map production, and metadata development.
* Familiarity with EFH assessments, environmental review processes, and habitat-based conservation strategies within marine or estuarine systems.
* Ability to write clear, concise technical reports and prepare briefing materials for senior decision-makers.
* Strong proficiency with common software including word processing, spreadsheets, statistical tools, data management applications, and the entire Google suite.
* Ability to collaborate with partners, manage multiple ongoing tasks, and respond to technical comments with accuracy and completeness.
* Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 of the last 5 years and must be able to pass a background investigation to obtain a security badge to access applicable government systems.
Work Location
This position is fully remote in support of NOAA Fisheries.
Education
Bachelor's degree in Biology, Marine Science, Ecology, Environmental Science, or a related discipline, plus three years of experience in fish biology, marine biology, oceanography, or a closely related field.
Salary
The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills.
Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes:
* Medical, Rx, Dental, and Vision Insurance
* 401(k) retirement plan with company-matching
* 11 Paid Federal Government Holidays
* Paid Time Off (PTO)
* Basic Life & Supplemental Life
* Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
* Short-Term & Long-Term Disability
* Employee assistance program (EAP)
* Tuition Reimbursement, Personal Development & Learning Opportunities
* Skills Development & Certifications
* Professional Membership Reimbursement
* Employee Referral Program
* Competitive compensation plan
* Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance
* Publication and Conference Presentation Awards with bonuses
ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.
#LI-Remote
Implementation Scientist
Remote job
Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
The Dissemination & Implementation Launchpad is seeking an Implementation Scientist to join its nationally influential and dedicated team. The successful candidate will contribute to program growth by providing consultations, leading training programs, and collaborating with researchers on a variety of established and newly funded projects. This includes consultations on grant development, study execution, and scale up and dissemination of evidence-based findings. The scientist will take primary responsibility for the qualitative research portfolio and be expected to contribute to training in basic aspects of the methodology but also to innovate and develop competency in more advanced and transdisciplinary uses of qualitative methodology (e.g., rigorous mixed methods and Delphi methodologies). The scientist will extend the use of an implementation approach to research bottlenecks (e.g., recruitment science) to advance translational science.
The Scientist will collaborate with experts across campus and within the community to train research teams and research networks in health innovation development, collaborate on grant applications, and author publications. The Scientist will assist with planning, implementation, and evaluation of novel Dissemination & Implementation Launchpad programs, and prepare scientific presentations and manuscripts to report on evaluation results. The ideal candidate will be self-motivated, highly organized, capable of collaboratively leading and advancing multiple projects, skilled in collaborating with other campus units engaging in Dissemination & Implementation and thrive in a fast-paced environment.
This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.
This position has been identified as a position of trust with access to vulnerable populations. The selected candidate will be required to pass an initial caregiver check to be eligible for employment under the Wisconsin Caregiver Law and every four years.
Key Job Responsibilities:
Identifies research problems and develops complex research methodologies and procedures
Serves as a unit subject matter expert and liaison to internal and external stakeholders providing advanced level information and representing the interests of a specialized research area
Collects and analyzes complex research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision
Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities
Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
Takes leadership role in developing D&I launchpad's qualitative research consult program, education, tools and other resources in alignment with Launchpad/ICTR grant commitments
Writes or assists in developing grant applications and proposals to secure research funding
May supervise the day-to-day activities of a research unit as needed
Contributes to D&I Launchpad programs and research, including development of implementation and dissemination materials
Monitors program budget and approves unit expenditures
Department:
School of Medicine and Public Health, Institute for Clinical and Translational Research (ICTR), Dissemination and Implementation Launchpad
The Dissemination and Implementation Launchpad Team is part of the UW Institute for Clinical and Translational Research (ICTR) within the School of Medicine and Public Health. We support junior and senior researchers with tools, resources, and scientific guidance to help them move their research findings from experimental settings into clinical and community practice ('translating' research into practice). As a nationally recognized program in dissemination and implementation science, the Dissemination and Implementation Launchpad is at the leading edge of a growing and innovative field, assisting research teams to bridge the gap between research and practice. The Dissemination and Implementation Launchpad team includes faculty, scientists, educators, business consultants, and evaluation professionals and collaborates closely with ICTR's rapidly growing Learning Health System (LHS) program.
Compensation:
The expected salary range for this position is $70,000 up to $104,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Academic Staff Benefits Flyer
Required Qualifications:
Expertise and professional experience in qualitative research and methods
A minimum of two years of experience with implementation science
Preferred Qualifications:
Experience using and facilitating a variety of qualitative approaches to inquiry in health care such as Delphi process and appreciative inquiry
Education:
Ph.D. in Implementation Science, Public Health, or related field is required
How to Apply:
To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials.
Important: There is only one attachment field. All required documents must be combined into a single file and uploaded in that field.
Required documents:
• Cover letter
• Resume
Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.
Contact Information:
Kim McFarlane, ********************
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.
Auto-ApplyAssociate Scientist (JP9834)
Remote job
Employment Type: Contract Business Unit: Pre-Pivotal DP Synthetic Enabling Technology Duration: 1+ year Rate: $20-22/Hr 3 Key Consulting is hiring an Associate Scientist for a consulting engagement with our direct client, a leading global biopharmaceutical company.
Job Title: Project Manager - REMOTE - (JP9268)
Location: Thousand Oaks, CA. (100% REMOTE)
Employment Type: Contract
Business Unit: Medical Device Supply and Raw Materials
Duration: 1+ years (with likely extensions)
Notes:
Posting Date: 10/14/2021
3 Key Consulting is hiring a Project Manager for a consulting engagement with our direct client, a leading global biopharmaceutical company.
Job Description:
In this laboratory-based on-site position, you will work within a cutting-edge solid-state chemistry team to support drug development. You will perform several functions and work across Process Development sites as you use solid state characterization tools to derive knowledge that will help drive efficient development and scalable understanding of processes and products in client's small molecule pipeline.
The ideal candidate would possess:
Proficiency in solid state characterization techniques, such powder X-ray diffraction, particle analysis by laser diffraction, thermal analysis (TGA/DSC), optical microscopy, surface area measurement.
Attention to detail, adaptability to new techniques and multiple tasks, ability to solve problem and meet deadlines, and effectiveness to work independently and as a team member.
Strong computer skills in instrumentation and data processing in a client-server environment.
Excellent communication (verbal and written) and organizational skills.
Why is the Position Open?
Planned project.
Top Must-Have Skill Sets:
Experience with solid state characterization techniques. 1-2 years experience
Strong knowledge in physical and organic chemistry. Bachelors degree in chemistry or chemical engineering
Good verbal and written communication skills
Day to Day Responsibilities:
Perform solid state characterization measurements and analyses.
Design and conduct experiments for form screening and form characterization analysis by following instructions and guidance from project representatives.
Interpret data, maintain timely documentation (i.e. electronic notebooks), and contribute to technical reports and presentations in a cross-functional team environment.
Participate in lab housekeeping, maintain lab equipment and supplies, and comply with lab safety guidelines.
May work occasionally on flexible schedule, i.e. starting early morning or finishing late evening, depending on the project need
Basic Qualifications:
B.S. with degree in Chemistry, Chemical Engineering, Materials Science, Pharmaceutical Science or related scientific background experience. Pharmaceutical/biotech industry experience preferred, but not required.
Demonstrated knowledge of various solid-state characterization techniques such as XRPD, TGA, DSC, particle size, microscopy, surface area, DVS, etc.
Good written and oral communication skills.
Employee Value Proposition:
Candidate would be interfacing with many function areas. Candidate would have a great connection to the pharm development. This is a great hands-on experience and position.
Red Flags:
No background in physical science
No hands on experience with web chemistry labs
Interview process:
Phone screening followed by in-person interview.
We invite qualified candidates to send your resume to **************************. If you decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our website ******************************* You are also welcome to share this opportunity with anyone you think might be interested in applying for this role.
hts reserved.
Regards, 3KC Talent Acquisition Team
Easy ApplyGenerative AI Scientist
Remote job
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen
About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications:
Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically:
Python programming.
Google Gemini, OpenAI GPT, LLaMA, or similar models.
LangChain, LlamaIndex, or similar frameworks.
Advanced prompt engineering.
Retrieval Augmented Generation (RAG).
Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar).
The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field.
LLM model fine-tuning.
Embedding model fine tuning.
Shell scripting.
Google Cloud Vertex AI (AutoML, AI APIs, etc.).
Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).
MLOps (ideally on GCP).
Data Engineering (including SQL).
Personal Attributes:
Strong ethics.
Strong technical aptitude.
Engineering mindset/developer background.
Strong sense of ownership and teamwork.
Curious, always learning to get better.
Enjoys working with clients.
Excellent communication skills.
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses
Check out our complete list of benefits here - >********************************
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Auto-ApplyGrowth Product Lead, Loyalty
Remote job
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We're building the AI Growth Engine that powers the next generation of consumer brands.
With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.
Why Trafilea
We're a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Job Responsibilities
We're looking for a creative and results-oriented Growth Product Lead to design and deliver hands-on, value-driven experiences that customers engage with on a recurring basis.
Our Subscriptions Tribe is responsible for scaling programs like Shapermint Club, Autoship, ShaperBox, and Credits into sustainable, high-performing initiatives that drive recurring revenue, increase order share, and maximize customer lifetime value.
As Product Lead - Subscriptions & Loyalty, you will partner closely with Product Manager Camila Rodríguez and the Subscriptions Tribe to execute initiatives that strengthen retention, optimize subscription funnels, and deliver measurable improvements in churn, repurchase rate, and LTV.
Own subscription growth experiments across Club, Autoship, Shaperbox, and Credits, turning hypotheses into MVPs and quick-win pilots.
Map and optimize subscription journeys (onboarding, renewal, cancellation) to reduce friction and improve retention.
Execute data-driven initiatives with clear KPIs (churn, RR45D, LTV uplift) and share insights through dashboards and reports.
Collaborate daily with Product, Marketing, CX, BI, and Tech to align on roadmap priorities and manage dependencies.
Design bold retention mechanics and personalization flows based on customer feedback, cohort analysis, and behavioral signals.
Drive influencer/ambassador-style engagement by ensuring community-driven and loyalty mechanics connect with customer needs.
Run agile practices (sprints, stand-ups, retros) to keep squads accountable and reduce operational load for Tribe leadership.
Prioritize and scale successful pilots into playbooks for global markets (US, CA, UK, AU), fueling recurring revenue growth.
Job requirements
2-4 years of experience in Growth/Product, ideally in e-commerce or SaaS.
Strong growth-marketing mindset: designs hypotheses, tests quickly, iterates weekly.
Fluent in cohort analysis, dashboards, churn, and retention metrics.
Execution-driven: hands-on with no-code pilots, flow-building, and CRM triggers.
Strong collaboration in cross-functional squads.
Clear communication: async documentation and storytelling with data.
Exposure to subscriptions or loyalty; deeper technical/financial skills to be built on the job.
Basic agile methodology knowledge with willingness to own squad leadership practices.
All done!
Your application has been successfully submitted!
Other jobs
Field R&D Lead Data Scientist - Industrial Focus
Remote job
About Spotfire
Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire empowers businesses to their digital destinations by interconnecting everything in real time and providing visual data science for everyone, from business users to data scientists. Our more than 10,000 customers include:
Majority of the top 10 Energy companies in the world
Majority of the top 10 Life Sciences companies in the world
7 of the world's top 10 Manufacturing companies
Several other major companies in banking, retail, and airlines
We're looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment.
Overview
Our global Field R&D team is a central part of the company strategy. The team focuses on applied innovation, customer needs, and the community of data scientists. A portion of the team's creations will end up in our products to scale its impact. The team is responsible for enabling our client's competitiveness by improving ROI from their investment in Spotfire.
Operating across several sectors, our Field R&D Data Scientists have helped improve the drilling operations of several energy companies, built solutions for reducing fraud in financial trading, worked with NASA medical teams, helped increase yields at some of the biggest semiconductor companies, and initiated changes in California traffic laws.
We are looking for a Field R&D Lead Data Scientist with experience in industry verticals such as Energy, Manufacturing, or similar to join our team. The right candidate is seeking an opportunity to deliver hands-on prowess and thought leadership to grow our customer's analytical capabilities with Spotfire. You will join a team of highly collaborative individuals as a key team member and play a significant role in developing our capabilities. You will lead field-inspired R&D projects, represent the company at industry events and contribute to the active customer and partner community. You will participate in technical customer engagements by developing analytical deliverables using methods from exploratory analytics to machine learning, statistical modeling, and AI. You will see R&D projects through its inception, design, deployment, customer feedback, and publication.
Responsibilities
The position entails the following responsibilities:
Delve deep into energy, manufacturing, or similar types of analytical and data science challenges.
Engage with customers through presales support and post-sales success projects.
Perform and guide R&D topics in the field of applied machine learning and AI.
Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.
Create re usable data models, workflows and test suites in order to streamline project delivery.
Provide input into product management and engineering for the product roadmap.
Innovate in the areas of application and deployment of machine learning.
Tool Kit Development: create demos and templates with data science libraries.
Technical marketing: create white papers, blogs and content for the Spotfire user community.
Represent the team as a speaker or instructor in industry events and external conferences.
Participate in technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes.
Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector
Required Qualifications
5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources.
5+ years of experience in applying analytics to industry verticals such as Energy, Manufacturing, or similar.
Superior communication and storytelling skills with data. The ability to comfortably communicate with customers' senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail.
Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders.
5+ years of experience with Python or R and some knowledge of SQL. Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders
Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them.
A Master's or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining.
Desired Qualifications
Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Snowflake or Databricks and/or further programming or scripting environments e.g. .Net, Java, IronPython, Javascript, C++ is a plus.
A PhD in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining.
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others.
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. NY generally ranges: $172,114-$258,172 CA generally ranges: $179,598-$269,396 All other locations fall under our General State range: $149,665-$224,497 Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. This requisition has no specific deadline for completion.
About Us:
Cloud Software Group is one of the world's largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done - from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud.
Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications.
If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.
Auto-ApplyPharmacovigilance Scientist
Remote job
Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain's biggest problems so patients and their loved ones can flourish. For more information, please visit us at ************** and follow us on LinkedIn and X.
About This Role
Axsome Therapeutics is seeking a Pharmacovigilance Scientist to establish and execute pharmacovigilance (PV) systems and procedures, with a strong focus on maintaining high-quality standards. This role is responsible for supporting the Pharmacovigilance (PV) Science function under the guidance of the PV physician and providing oversight of ICSR assessment, signal detection, medical surveillance and risk management activities for investigational products in clinical development and marketed products. This position collaborates with key internal stakeholders, including Clinical Development, Commercial, Medical Information, Medical Affairs, Quality, Regulatory and Legal, as well as multiple external Service Providers and partners on pharmacovigilance-related matters.
This position reports to Executive Director of Pharmacovigilance/Drug Safety and is based at Axsome's HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles.
Job Responsibilities and Duties include, but are not limited to, the following:
Assist safety physician to enhance safety surveillance and signal detection by monitoring and analyzing safety data from various sources to identify potential safety signals or trends related to investigational and marketed products
Contribute to the creation and execution of risk minimization measures to mitigate identified risks.
Support the preparation pharmacovigilance aggregate safety reports (e.g., PADER, PSURs, DSURs) to regulatory authorities to meet compliance requirements.
Collaborate with PV physician/PV operations and key stakeholders to request/receive applicable sections of the report
Provide training and guidance to other functions to address ad hoc questions and issues
Ensure timely finalization of the reports to meet the submission timelines of relevant health authorities and other external stakeholders
Collaborate and communicate with cross-functional teams to ensure effective safety monitoring and communication
Support the safety review team (SRT) and coordinates all safety topic discussion and documentation.
Ensure appropriate stakeholder representation and input at SRT
Ensure all data is appropriately compiled and presented at SRT for team review
Liaise with SRT chair to facilitate communication and support for decisions resulting from the SRT (e.g. update of RMPs, labeling, regulatory notifications etc.)
Contribute to clinical trials by providing safety input and reviewing documents such as Clinical Study Reports (CSRs), protocols, and investigator brochures (IB), ICF etc.
Provide support for the processing of individual case safety reports (ICSRs) and ensure data accuracy and completeness for investigational and marketed products
Support the PV SOP updates
Oversee vendor safety process, e.g., signal detection, validation and assessment.
Participate in audit/inspection preparedness activities and provide support during regulatory inspections in collaboration with team members
Participate in new study initiation to ensure PV requirements are met including but not limited to safety reporting, query resolution, SAR reconciliation, un-blinding process, and safety reporting training
Evaluate and improve current PV processes, as needed, to strengthen medical surveillance and risk management process ensuring alignment with best practices
Requirements / Qualifications
Master's degree in health-discipline or equivalent required, RN, R.Ph, or Pharm D degree is highly preferred
5+ years of progressively responsible Pharmacovigilance experience in a pharmaceutical, biotechnology, or related environment with focused experience in signal detection, safety surveillance, risk mitigation and risk management
Extensive experience in case processing, regulatory requirements of ICSRs, MedDRA, WHODD, project management
Experience in submission activities in both FDA and EU is preferred, but not required
Must demonstrate the ability to draft reports, business correspondence, and procedures, and to effectively present information and respond to questions from internal and external stakeholders, both domestic and international
Ability to work on site Monday, Tuesday & Thursday. We are unable to consider candidates who are looking for fully remote roles.
Experience and Knowledge
Knowledge of ICH E2B(R2) and (R3) specifications and entry guidance.
Knowledge of global pharmacovigilance reporting rules and timelines, including but not limited to Health Canada, FDA and EMA.
Knowledge of relevant food and drug administration (FDA), European union (EU) and international conference on Harmonization (ICH) guidelines, initiatives, and regulations governing pharmacovigilance.
Ability to interpret health and medical records such as adverse event reporting forms, a discharge summary, etc.
Experience with clinical and/or post-marketing case assessment, including medical terminologies, MedDRA and WHO DD coding and narrative writing.
Experience with safety database is required; ARISg is a plus but not mandatory.
Experience with Veeva is a plus but not mandatory.
Ability to work independently and collaboratively, as required, in a fast-paced matrixed team environment consisting of internal and external team members
Analytical thinker with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines
Ability to read, analyze, and interpret professional journals, technical procedures, and governmental regulations
Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects
Excellent verbal and written communication and skills
Excellent in detailed-oriented tasks.
Salary & Benefits
The anticipated salary range for this role is $150,000 - $185,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package.
Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law.
Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.
Auto-ApplyResearch Associate-Fixed Term
Remote job
The Lingo Lab in the Department of Communicative Sciences and Disorders at Michigan State University (directed by Courtney E. Venker, Ph.D., CCC-SLP) has an opening for a 1-year post-doctoral fellowship in language development and autism. The position starts in Fall 2024 and may be renewed for a second year, based on performance. The overall goal of the Lingo Lab is to better understand how children with autism learn language and how best to support language learning in children who struggle.
The Research Associate will be part of an NIH-funded study focused on how adult linguistic simplification affects language processing and word learning in children with autism (R01 DC020165; Venker, PI). The candidate will contribute to numerous aspects of the project, including data processing, visualization, analysis, interpretation, and dissemination of results. The candidate will help supervise and mentor junior researchers. The candidate will be involved in preparing conference presentations and writing scholarly manuscripts. To the fullest extent possible, the team will support the Research Associate in pursuing the scientific aspects of the project that best contribute to the development of their own independent line of research. Funding for conference travel will be provided. The goal of the Lingo Lab is to better understand how children with autism learn language and how best to support language learning in children who struggle.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate -Communicative Sciences and Disorders or related field
Minimum Requirements
Ph.D. in Communicative Sciences and Disorders (or a related field) prior to starting this position.
Applicants must show evidence of scholarly productivity in the form of journal articles and conference presentations.
Desired Qualifications
Research experience in language development and neurodevelopmental disorders is desirable.
A clinical Master's degree in speech-language pathology and a Certificate of Clinical Competence (CCC) from the American Speech-Language-Hearing Association are strongly preferred.
Required Application Materials
Applicants should include a letter of interest and a current curriculum vitae with contact information for three references.
Special Instructions
Review of applications begins immediately and will continue until the position is filled.
Direct questions to: Courtney E. Venker, Ph.D., CCC-SLP cvenker@msu.edu
Review of Applications Begins On
01/23/2024
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
Website
https://comartsci.msu.edu/departments/communicative-sciences-and-disorders
MSU Statement
Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.
Research Scientist II
Remote job
See yourself at Dataminr
As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices.
AI Innovation at Dataminr
Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.
Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.
Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here
Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.
The opportunity
Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning.
Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
Contribute to the research community via publications in top tier venues, participation in program committees, etc.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
Productionize and ship research into Dataminr's products, and thus to its users worldwide.
Senior candidates are expected to lead technical areas and/or people.
What you bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.
Ph.D. in Computer Science or related field
Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc.
Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.).
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.
Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus.
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).
#LI-Remote
#LI-BM
About Dataminr
At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts.
Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe.
As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here.
We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more.
We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities.
The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience.
Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or
privacy@dataminr.com
.
Auto-ApplyUiPath Robotic Process Automation Developer Associate
Remote job
Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
Secret
Public Trust/Other Required:
None
Job Family:
Data Science and Data Engineering
Job Qualifications:
Skills:
Collaborating, Design, Technical Requirements
Certifications:
None
Experience:
0 + years of related experience
US Citizenship Required:
Yes
Job Description:
Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As an UiPath Robotic Process Automation Developer Associate at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.
The UiPath Robotic Process Automation Developer Associate will find themselves at the heart of GDIT's customer-centric approach, playing a pivotal role in ensuring our customers successfully meet their strategic goals. They will use their UiPath expertise and their project skills to develop and promote organizational goals to completion. If you enjoy collaborating with others in a fast-paced environment, you will find this role to be both rewarding and challenging.
MEANINGFUL WORK AND PERSONAL IMPACT
As an UiPath Robotic Process Automation Developer Associate, the work you'll do at GDIT will be impactful to the mission of our customers. You will play a crucial role in the following areas:
Design, develop, test, and deploy solutions built in UiPath; may also utilize Microsoft Power Platform (Power Apps and Power Automate)
Develop flows and automation with UiPath to increase efficiency and effectiveness of organization.
Develop easy-to-use interfaces and forms in UiPath forms/apps to drive business processes.
Collaborate with end users, stakeholders, and management to identify business process needs, document the business and technical requirements, and determine the best automation solutions.
Create process, technical architecture, design, and user guide documentation.
Support architecture and design of UiPath roadmaps.
Participate in development and test teams driving the design, creation, testing, and delivery of technical functionality.
Collaborate with GDIT and customer personnel to establish and maintain automation infrastructure.
Implement best practices in code review, troubleshooting, debugging, and post-implementation support.
Contribute to the development of IT related, technical processes reviews, postmortems, and continual process improvement internally as well as for customers/stakeholders.
Collaborate with technical staff to define implementation and process best practices.
Scope work and create estimations of effort.
WHAT YOU'LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The UiPath Robotic Process Automation Developer Associate must have:
● Education: Technical Training, Certifications or Degree
● Experience: 0+ years of related experience
● Required Skills:
Proficiency with UiPath design, development, testing, and deployment
Understanding of UiPath automation frameworks
Ability to identify and solve complex problems
Capability to learn new technologies quickly.
Excellent collaboration skills and can effectively work in a team environment.
Ability to effectively manage multiple competing priorities at any given time.
Ability to work independently and as part of a team
Excellent communication and presentation skills with the ability to present complex insights to both technical and non-technical audiences.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy.
● Preferred Skills:
UiPath Automation Developer Associate and/or Automation Developer Professional Certification(s)
Proficiency with Microsoft Power Platform (Power Apps and Power Automate) design, development, testing, and deployment
Excel background; familiarity with other Microsoft tools (Outlook, Word, Excel, PowerPoint)
Exposure to ServiceNow.
Knowledge of ITIL framework.
Knowledge of Agile methodology.
Experience with additional coding languages such as Python, R, JAVA, C#. VB.Net, SQL
Previous experience in the defense or government sector a plus
● Security Clearance Level: Must be able to obtain a Secret clearance
● US Citizenship Required
● Location: Ability to commit to a hybrid work model at GDIT's Integrated Technology Center in Bossier City, LA is strongly preferred
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Flexibility: Full-flex work week to own your priorities at work and at home
● Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
The likely salary range for this position is $55,250 - $74,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
Less than 10%
Telecommuting Options:
Hybrid
Work Location:
Any Location / Remote
Additional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Auto-ApplySenior AI/ML Researcher - Alpha Discovery
Remote job
Are you driven by the transformative power of AI in financial markets? Nurp is seeking a seasoned AI/ML Specialist to pioneer the next generation of our trading algorithms. This role is central to our mission, focusing exclusively on AI integration and machine learning-driven alpha discovery.
You will be responsible for designing, experimenting with, and advancing predictive models that generate high-performing trading signals. Your work will translate complex data into profitable strategies, pushing the boundaries of our algorithmic capabilities. The ideal candidate has a proven track record of building advanced financial models within an institutional setting and is passionate about turning theoretical research into a measurable trading advantage.
This position offers a competitive annual salary ranging from $250,000 to $1,500,000, plus a significant revenue share component.
ABOUT THE COMPANY
Nurp builds smart trading algorithms that help people trade more effectively across multiple markets, including forex, gold, and more. We're reshaping the way people invest by using powerful, data-driven technology instead of outdated methods. At Nurp, we're focused on growth, both in the markets we serve and in the people we hire. This is a place for driven, results-oriented individuals who want to take ownership, learn quickly, and make an impact. You'll work alongside a talented team, contribute to meaningful projects, and help shape the future of algorithmic trading. We move fast and wear many hats, creating constant opportunities for personal and professional growth.
KEY RESPONSIBILITIES
Alpha Research & Discovery: Focus on designing and experimenting with machine learning-driven alpha models. Your primary mission is the discovery of new, predictive signals.
Predictive Modeling: Develop and implement sophisticated machine learning models to forecast market trends and asset prices.
Feature Engineering & Data Experimentation: Dedicate significant effort to feature engineering and testing new datasets to improve model performance.
Model Optimization: Continuously experiment with and optimize model parameters and architectures to enhance forecasting accuracy and robustness.
Strategy Integration: Collaborate directly with the quantitative strategists and developers to ensure alpha signals are effectively translated into executable and profitable trading strategies.
Data Pipeline Ownership: Define data requirements and ensure research workflows are supported with clean, structured, and reliable datasets by overseeing and maintaining the end-to-end data pipeline.
Perform other related duties as assigned or necessary.
KEY COMPETENCIES
Proven Alpha Generation: A demonstrated and institutionally proven ability to design intricate ML algorithms and a focus on creating innovative, high-signal alpha models.
Expert-Level Machine Learning: Deep expertise in machine learning techniques, statistical analysis, and predictive modeling as applied to financial markets.
Technical Proficiency: High proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
Collaborative Execution: Strong collaborative skills to work effectively with quantitative and data teams, ensuring research seamlessly integrates into the trading stack.
Financial Market Acumen: In-depth understanding of financial markets, trading strategies, and what constitutes a viable alpha signal.
Highly Organized & Proactive: Dependable, detail-oriented, and capable of driving research projects from conception to completion with limited supervision.
EDUCATION AND EXPERIENCE
Master's or Ph.D. in Computer Science, Quantitative Finance, Statistics, or a related field.
At least 5+ years of proven experience applying machine learning techniques to financial markets, specifically for alpha discovery.
A proven track record of developing trading algorithms or signals within a hedge fund, prop trading firm, or fintech company.
Proficiency in Python and familiarity with major machine learning frameworks.
BENEFITS
100% Remote work.
Revenue share compensation component
Health insurance.
Dental insurance.
Vision Insurance.
Voluntary Life Insurance.
Paid Time Off.
Opportunities for professional development and training.
Access to our product and services at significant discounts and, in some instances, free
COMMITMENT TO DIVERSITY
Nurp is an equal opportunity employer committed to fostering an inclusive and diverse workforce. We encourage applicants from all backgrounds to apply, regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation, or disability.