Chief scientist jobs near me - 340 jobs

Our mission is to shape the future of clinical research. With decades of experience and the brightest minds in the industry, we help the global biopharmaceutical industry bring new, advanced medical treatments to market, faster. We seek to change the world, and with the support of our teams across the globe, we flourish together. At Perceptive, we are one team. We learn, grow and win together. Are you ready to help change the world? Apart from job satisfaction, we can offer you: HEALTH: - Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) YOURSELF: - Paid time off policy including holidays and sick time - Internal growth and development programs & trainings WEALTH: 401(k) program, life & accident insurance and disability insurance About the role Job Purpose As Scientist II, you will develop and apply modelling and analysis techniques to Perceptive clinical oncology imaging studies to provide quantitative decision-making data to commercial clients. Key Responsibilities Image and data processing pipelines Supports the design, development, and execution of image and data processing pipelines in support of clinical imaging trials, including for use in a validated core lab environment. Quality control Oversees image and data quality control methods, documentation, and best practices, including for use in development of validated, 21 CFR part 11 compliant workflows. Research & development Carries out research & development in support of novel image processing methods, tools, and pipelines. Stakeholder relationship management Supports sponsor interaction, including capabilities presentations, scientific & medical services support, and data presentation/interpretation. Guides and supports junior members of the team, through mentoring and training to develop knowledge, techniques and skills. Carries out scientific review of study results for junior members to assess accuracy and support in their development. Other Carryout any other reasonable duties as requested. Functional Competencies (Technical knowledge/Skills) Excellent knowledge of nuclear medicine imaging and image analysis Excellent interpersonal, verbal and written communication skills A flexible attitude with respect to work assignments and new learning Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail Ability to identify and implement process improvements Proactively participates in skills improvement training and encourages their teams to participate Ability to coach others to succeed in enhancing individual and professional development. Sharing knowledge, skills, and expertise with others Experience, Education, and Certifications Ph.D. in a quantitative field, ideally in nuclear medicine, physics, biophysics, or biomedical engineering. Substantial demonstrable experience in both academic and/or industrial instrumentation/ image-processing environments Solid proven experience of working in and knowledge of medical imaging or clinical development in the life sciences industry. English: Fluent. This role is remote. Candidates located in the following states are preferred: AZ, CT, DE, FL, GA, IL, MA, MO, NH, NJ, NC, PA, UT, VA. The annual base salary range for this role is $82,150-$152,566. This range represents the anticipated initial annual salary and will vary depending on several factors including the candidate's experience and skills as well as market rate adjustment. Come as you are. We're proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Loyal is a clinical-stage veterinary medicine company developing drugs intended to extend the lifespan and healthspan of dogs. Our mission is to help dogs live longer, healthier lives. We've already achieved significant milestones on our path to earning FDA approval for the first lifespan extension drug for any species. We have three products in our pipeline and are on track for FDA conditional approval within the next year. Loyal is a well-funded startup in growth mode. Our team includes scientists, veterinarians, engineers, operators, and creatives. This role will play a key role in supporting our growth strategies. About the role We're seeking an experienced Sr. Scientist, CMC Analytical to serve as the SME in analytical methods and data interpretation, providing advanced technical analysis of data generated during product release, stability testing, and method lifecycle activities. This role requires deep expertise in analytical method development, data trending and interpretation, with the ability to translate findings into actionable insights that inform quality decisions and regulatory strategy. Your work will ensure that robust, phase-appropriate analytical methods and data packages support product quality, regulatory compliance, and successful advancement of therapies from early development through commercialization. This role is for someone who applies strong technical judgment to ensure robust product understanding, reliable quality control performance, and continuous method improvement throughout clinical development and commercialization.This role is for someone who has extensive experience with method development for small molecule drug product and API testing particularly with new chemical entities. The ideal candidate should be able to critically review all data for potential trends or issues. Experience managing outside labs is a plus. You will be reporting to our Sr. Manager, CMC Analytical. Your daily work will include: Perform in-depth review and interpretation of analytical data (HPLC/UPLC, Dissolution, KF, GC, etc) across release and stability programs. Identify subtle trends, shifts, or outliers in complex data sets that may impact product quality, method robustness, or long-term stability. Provide expert technical input during OOS, OOT, and atypical result investigations, ensuring scientifically sound conclusions. Lead trending of release and stability data across programs, highlighting emerging quality signals and risks. Review and assess data from method development, transfer, qualification, and validation activities. Ensure Quality Control data packages are complete, scientifically defensible, and compliant with cGMP and regulatory expectations. About you: A Bachelor's or Advanced degree (master's or Ph.D.) in Analytical Chemistry, Chemistry, Biochemistry or a related field. Animal Health experience strongly preferred. 6+ years of experience in quality control laboratory, analytical or method development, with significant experience with small molecules preferred. Deep and broad knowledge of analytical chemistry in support of small molecule release and stability method development, raw material control, in process control, and characterization. Prior experience managing CDMO relationships, tech transfer, and Quality Control programs desired. Deep understanding of cGMP, ICH/VICH, FDA, and EMA analytical expectations. Proven track record of QC data interpretation and support of regulatory filings. Creative and thoughtful approach to problem solving technical issues. Ability to quickly learn new concepts and processes. Adaptability, creativity and high-performer in risk-assessment and strategic thinking. Detailed eye for logistics and problem solving. Willing to work and comfortable in a fast-paced startup environment with a dynamic team. Clear and polite communication skills. Familiarity with Google Workspace applications (e.g., Sheets, Slides, etc.). Salary: $125,000 - $145,000 Loyal benefits: Full-coverage health insurance - medical, dental and vision - for you and your dependents $1,000 home office equipment stipend $1,200/year learning budget for books, courses, etc. $250/month wellness budget for gym, cleaners, spa, food, etc. All 3-day weekends are turned into 4-day weekends 🎉 Unlimited vacation and paid holidays Paw-ternity leave - adopt a dog and get a day off with your new family member 🐶 Competitive salary Company equity options grant for new hires Loyal is founded and led by a first-gen female CEO and is proud to be an equal opportunity employer. We do not discriminate against applicants based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Our values Lean into moonshots We don't settle for incremental change. We have the bravery to take risks and shoot for the impact we want to have. Opportunity is at the intersection We lean into combining disciplines, expertises, and perspectives not normally adjacent. We design our organization to facilitate cross-pollination and cross-collaboration. We reject silos. Expertise without ego Titles do not determine who has a voice. We work on hard technical problems and have a ton of fun while at it. Learning by doing Our path is novel and many things we are doing have never been done before. We lean into MVPs and are open to unexpected outcomes. Lead with context We value leading with context. We equip people with the context and background necessary to make their own decisions and act in the best interest of Loyal. We empower teams to succeed. Empathy and respect for all life Our patients are not just numbers. Our work is intentional, thoughtful, and guided by respect for life. We take our responsibility to pets and pet parents seriously.

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.

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.

Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&D operations based in Boston, Massachusetts and San Francisco, California, and business offices in London, United Kingdom. Position Summary If you enjoy challenges, are eager to learn, and want to join a team working on the next generation of gene editing therapeutics, we'd love to hear from you. Our ideal candidate will possess practical experience in tech transfer and large-scale LNP manufacturing, along with a strong understanding of process engineering principles. Responsibilities Support the manufacturing operation at the CDMO Manage, support, and lead the technology transfer of products into manufacturing facilities Troubleshoot manufacturing events, perform root cause analysis, and implement corrective actions for process deviations Analyze process data, monitor process performance against metrics, and present experimental or manufacturing data to a wide range of audiences Collaborate with QA, QC, PD, AD, RA, and other teams to ensure operations are compliant Generate, manage, evaluate, and maintain critical data in a highly organized manner, providing statistical analysis and troubleshooting where appropriate Work closely with CDMO partners, providing technical oversight and taking the lead in supporting investigations and resolving deviations Author and review technical sections for regulatory submissions Analyze process and manufacturing data to understand and optimize process performance Author and review technical reports and master and executed batch records, working across internal teams and with CDMO partners Build strong, effective relationships with colleagues across diverse backgrounds and areas of expertise Excellent interpersonal and communication skills; collaborative, solutions-oriented, and willing to contribute where needed Minimum Qualifications Ph.D. in biology, bioengineering, chemical engineering, or a related discipline, and 5-7+ years of professional experience or bachelor's degree with 10+ years of professional experience Outstanding problem-solving skills and a willingness to think outside the box. Prior experience with gene editing and manufacturing of lipid nanoparticles (LNPs). Expertise in manufacturing, tech transfers, and deviations. Excellent writing, reviewing, and presentation skills. Thorough knowledge of cGMP, ISO, and ICH guidelines and industry best practices. Ability to work independently and collaboratively in a results-oriented environment. Must possess critical thinking and self-reliance to solve tasks independently. Preferred Qualifications Self-motivated and scientifically rigorous, with outstanding organizational and multitasking skills. Entrepreneurial spirit, including resourcefulness, accountability, agility to pivot, transparency, and productivity. Ability to keep pace with a fast-moving organization Competencies Collaborative - Openness, One Team Undaunted - Fearless, Can-do attitude Results Orientation - Delivering progress toward our mission. Sense of urgency in solving problems. Entrepreneurial Spirit - Proactive. Ownership mindset. CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site. Senior Manager: Base pay range of $137,000 to $150,000+ bonus, equity and benefits The range provided is CRISPR Therapeutics' reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities. CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. To view our Privacy Statement, please click the following link: ***********************************************

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.

About the company At Covera, we're committed to ensuring high-quality healthcare is more than just a promise. That's why we're leading the way in the emerging science of quality, and connecting providers and payers in their shared quest to improve patient outcomes and care quality. By tackling this challenge, we have the ability to impact millions of lives by raising the standard of care nationwide. Our initial focus is radiology, where an early and accurate diagnosis has a profound impact on the rest of a patient's care journey. Through our work, which uses clinically-validated science-based tools, we're helping doctors enhance their care, ensuring patients get the right diagnosis, and enabling the healthcare system to support quality improvement at scale. Through our clinical intelligence platform, we have launched programs that help people access the most effective care and provide doctors with AI-powered quality insights and tools to enhance their care. Today, Covera is partnered with leading employers, payers and healthcare organizations across the US, including Walmart and Microsoft. And, with a pipeline representing over 25% of insured Americans, we are in the early stages of improving care quality for all patients across the globe. About the role We are looking for a talented AI Scientist with a focus on Deep Learning to join us in our commitment to improve the quality of care for patients in every community across the nation. You will work with an experienced multidisciplinary team of talented AI scientists, data scientists, engineers, and clinicians to leverage unique healthcare data (in the form of MRI/X-Ray/CT images, clinical reports, and beyond). You will have the opportunity to work with extremely diverse and entirely unique radiology and healthcare datasets that extend to all phases of care delivery (referral, diagnosis, therapy, and outcome/follow-up) from the perspective of all key stakeholders (patients, providers, payers). You will utilize state-of-the-art compute resources, both in-house and on cloud. In this role, you will be expected to: Create AI algorithms that will be deployed to reduce misdiagnosis in radiology and improve patient care Investigate, develop and evaluate new AI methods to improve Covera's understanding of radiology reports and images Drive innovation and publications and represent Covera Health at scientific and industry conferences Collaborate with data science, clinical and engineering team members to help us build and deploy our clinical research roadmap Be passionate about improving patient care using AI Play an active role in further building the Covera team by joining interview panels and contributing to cross-company projects after onboarding Requirements: PhD or MS in computer science, math, physics or related discipline. 2+ years of experience after MS or a PhD with a good AI publication record Strong deep learning background and familiarity with state-of-the-art NLP and/or CV techniques. Applied programming experience in Python and PyTorch. Experience conducting independent research. Excellent ability to work well as an individual contributor as well as within a multidisciplinary team environment Strong communicator with excellent interpersonal skills and can-do attitude. Preferred experience: Exposure to medical imaging applications of AI Experience training at scale with multi-gpu setups and large volumes of data. Experience with methods such as model and data parallelism, model sharding and mixed-precision training . Contribution to research communities and/or journals, including NIPS, ICML, ACL, CVPR, MICCAI, etc. Benefits Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents Vision & Dental Flexible Time Off - take the time you need, when you need it 401(k) Retirement Plan Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity Annual Wellness stipend for fitness, mental health or other wellness expenses The minimum and maximum base salary for this position ranges from $140,000 - $155,000, in addition to a discretionary bonus and comprehensive benefits package. Final salary will be based on a number of factors including but not limited to, a candidate's qualifications, skills, competencies, experience, expertise and location. Final compensation decisions may occasionally fall outside of the posted range. Salary ranges are periodically reviewed and may be adjusted in response to market trends and company needs. At Covera Health, we strive to build diverse teams that reflect the people we want to empower through our technology. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Covera Health is proud to be an equal-opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know. Please note: We are unable to sponsor work visas at this time. Applicants must be authorized to work in the United States without sponsorship now or in the future.

The Data Science team at Penguin Random House is seeking two Machine Learning Scientists to build and improve machine learning products that power how we understand demand, set strategy, and connect readers with books. We're hiring across both our recommendation and pricing teams. In this role, you'll use rich datasets to build sophisticated models that either recommend books to readers or help price books for the market. Our recommendation systems drive discovery across our digital channels and marketing, while our pricing products model market response to optimize revenue and mitigate risks to sales and brands. As the world's leading publishing house, Penguin Random House is AI-forward and continues to invest in modern machine learning to shape the future of book discovery, sales, and customer engagement. Our Data Science team applies ML across personalization, forecasting, pricing, and experimentation, and we actively explore emerging AI capabilities when they can meaningfully improve customer experiences. This role spans the ML lifecycle; from problem framing and prototyping to production and iteration, with a strong emphasis on writing robust, maintainable software and using modern AI tools thoughtfully to accelerate development. **Specific responsibilities include:** + Owns the ML lifecycle: Frames problems, prototypes solutions, validates performance, and iterates based on measurement and feedback. + Applies sound statistical and ML practices for feature development, training, evaluation, validation, and maintenance. + Defines success metrics and uses offline evaluation plus online experimentation (including A/B tests) to validate performance, monitor quality over time, and drive ongoing iteration. + Partners with engineering and platform counterparts to productionize models, including repeatable training, deployment workflows, monitoring, and refresh strategies. + Diagnoses model performance issues and data quality problems; communicates findings and recommended actions clearly to stakeholders. + Writes maintainable, production-minded code and contributes to team standards (code review, documentation, reproducibility, and testing where appropriate). + Stays current on applied ML and uses modern AI tools to accelerate exploration, questioning, and implementation without sacrificing quality. **Please apply if you meet the following qualifications:** + Master's with 2+ years of applied work experience OR PhD in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field + Strong proficiency in Python and common ML frameworks and libraries (for example PyTorch or TensorFlow). + Strong SQL skills and experience working with large datasets for feature development, analysis, and validation. + Experience taking models from development to production (batch scoring, APIs, or downstream integration). + Solid understanding of experimentation and measurement. + Be cutting edge. Use the latest AI tools to develop well-designed and robust software. + Strong communication skills and ability to translate between business goals and technical solutions. + Familiarity with cloud and modern data/ML tooling (AWS, Databricks, Docker, Kubernetes, Spark, or similar). + Exposure to MLOps concepts and tooling (model registries, pipelines, monitoring, reproducibility). **Preferred qualifications:** We welcome candidates with depth in **either** (or both) of these applied ML areas: **Forecasting** + Experience with time series forecasting, causal/market-response modeling, optimization, or risk-aware modeling. + Familiarity with automated model retraining, monitoring, and long-running model maintenance. **Personalization** + Experience with recommender systems, ranking/retrieval, personalization, segmentation, propensity modeling, or targeting. + Familiarity with experimentation, measurement, and online evaluation. **_Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location._** **The salary range for this position is $130,000 - $175,000. All positions are currently eligible for an annual profit award or bonus, subject to company results. ** **Applications for this role will be accepted through February 10, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.** Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at *********************************** Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. **Company:** Penguin Random House LLC **| Job ID:** 285679 + Apply Now + Start applying with LinkedIn + **Please wait...**

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.

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 ****************.

Job Title:Associate Principal Data Scientist (Remote) Requisition ID:R025545Job Description:Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling. (This position is open to remote work.) Responsibilities: Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. Own design and evaluation of experimentation for optimization systems. Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create ThrillsMinimum Qualifications: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Business teams. Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. Relevant experience with one or more advertising solutions (i.e. Real-Time Bidding, Ad Exchange, etc.) Bonus Points Prior work with mobile gaming studios or player behavior modeling. Experience in developing or maintaining experimentation platforms. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

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.

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.

About the role Workera is building the next generation of assessments-AI-native, adaptive, and grounded in science. As an AI Assessment Scientist, you'll sit at the center of that work, designing and delivering assessments in a world where expert judgment, AI-assisted workflows, and agentic systems work in tandem. You'll apply rigorous skill models and evidence-centered design to ensure what we ship elicits real, defensible evidence of skill-not superficial proxies. This is a hands-on, individual contributor role for someone who recognizes that traditional assessment methods and standards were designed for a different era and feels a responsibility to thoughtfully evolve them. The assessments you design will power hiring, mobility, and upskilling decisions for some of the world's largest enterprises. If you've wanted to apply deep assessment science in a new medium where the work ships, scales, and is actually used, this role offers that opportunity. About your team You'll be part of Workera's AI Assessment Science team, working closely with senior scientific leadership while owning visible, end-to-end assessment outcomes in the product. You will collaborate with assessment developers, product managers, designers, and AI/ML partners from shaping through launch. What You'll Do: Within 3 months, you will: Gain a deep understanding of Workera's AI-native assessment approach, including skill modeling, evidence-centered design (ECD), and Workera's assessment authoring product, Compose Use AI-assisted and agentic workflows in assessment creation, applying expert judgment to ensure clear, meaningful, and defensible evidence of real skills Collaborate closely with assessment developers, skill strategy managers, designers, and science leadership to shape and deliver assessments in real product contexts Within 6 months, you will: Improve and refine AI-assisted and agentic assessment workflows and supporting operations, increasing efficiency, consistency, and assessment quality at scale Identify and eliminate manual bottlenecks while preserving rigorous, skill-centric assessment standards Guide contractor-based assessment development and maintenance, setting clear standards and examples and maintaining a high, consistent quality bar across domains Within 9 months, you will: Make assessment creation and review processes more robust across multiple applications, domains, and customer use cases Maintain and evolve Workera's signature assessment catalog, ensuring coherence, quality, and defensible skill evidence as the platform scales Optimize the distributed contractor model by improving collaboration, review processes, and synthesis of contributions Maintain, evolve, and future-proof assessment tooling, templates, and quality standards used by assessment developers and clients *Please note as we are a dynamic and quickly growing scale-up, things are always subject to change* What You'll Bring Master's or PhD in Industrial-Organizational Psychology, Psychometrics, Educational Measurement, or a closely related field Experience designing and delivering high-stakes assessments (e.g., hiring, certification, workforce mobility) Experience using AI-assisted workflows to generate, evaluate, or scale assessment content Strong applied expertise in evidence-centered design (ECD) and psychometrics; working knowledge of IRT and related models Ability to independently own complex and customized assessment work end to end, including collaboration with internal and client stakeholders Experience reviewing and elevating work produced by contractors or distributed contributors Clear, precise communication-especially when translating science into concrete decisions Proficiency in utilizing AI tools such as ChatGPT or equivalent digital assistants and applying them effectively within your work context. About Workera Workera is a fast-growing, Series B Silicon Valley start-up redefining how enterprises understand, develop, and mobilize talent. Workera's skills intelligence platform empowers leaders to make better, more informed talent development decisions. Utilizing computational psychometrics, machine learning, and AI technologies, Workera delivers best-in-class computer adaptive assessments with hyper-personalized learning plans to global companies across all industries. Our clients include Samsung, Siemens Energy, and the US Air Force. Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people, and our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project. We're learners, dreamers, and game-changers. Join us. At Workera, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Workera believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the best and most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

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.

WHO WE AREAt Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world's most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that's transforming the way the world pays. ABOUT THE ROLE We are building an exciting new Risk Decision Science team at Trustly. Building on a strong foundation of risk, data science, and machine learning, we are expanding our capabilities with advanced analytical leaders who will shape strategy, own transaction decisioning, and partner with some of the largest companies in the world to manage complex bank risk, spanning from credit to fraud and abuse. As a Risk Decision Scientist, you will play a critical role in protecting Trustly and our merchants while balancing fraud prevention, credit performance, recovery outcomes, and customer experience. This is a highly strategic, analytical role where you'll identify systemic weaknesses, close gaps before fraudsters exploit them, and reduce friction for good customers. If this sounds like work you love, we'd love to talk.WHAT YOU'LL DO Own the end-to-end design, maintenance, and continuous optimization of risk strategy frameworks, decision policies, and rules to meet ambitious business and loss goals. Use advanced analytics, SQL, Python, and statistical methods to solve complex problems, discover emerging risk trends, and inform high-impact decisions across the company. Partner closely with Product, Engineering, Data Science, Finance, and Risk Operations to translate business needs into scalable, data-driven strategies and ensure successful execution. Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals. Detect anomalies and evolving fraud trends, write risk rules targeting fraud patterns, and closely monitor the solution performance. Present strategies, findings, and recommendations to merchants and internal leadership, translating advanced ACH, risk, and fraud concepts into clear narratives that drive confidence, alignment, and action. Master large volumes of data; extract and manipulate large datasets using standard tools such as SQL and Python. Develop flexible performance dashboards and monitoring tools using platforms like Quicksight to provide clear, actionable insights to a variety of audiences and senior leaders. Plan and measure experiments (A/B and multivariate tests) to analyze the incremental value of new intelligence feeds and transform test results into actionable business insights. WHO YOU ARE Minimum of 3+ years of experience in fraud or credit risk strategy within the fintech, e-commerce, or online payments industry. Proficiency in SQL and Python, with a strong ability to work with large, complex datasets. Experience with analytical visualization tools such as Tableau, QuickSight, Mode, or Looker is a plus. Bachelor's degree in Statistics or an equivalent quantitative field (e.g., economics, finance, engineering, exact sciences). Demonstrated ability to use statistics and data science to solve complex, ambiguous problems and drive data-driven decisions. Experience building and deploying rules or automated monitoring; familiarity with fraud patterns such as Account Takeover (ATO), stolen credentials, NSF/ACH risk, or knowledge of the U.S. banking ecosystem. Able to turn complex analytics into simple, compelling stories for both technical and business audiences. Prior experience in payments risk, ACH, bank transfers, or real-time payments ecosystems. Strong product instincts - ability to influence roadmap, not just analyze data. Prior experience in high-growth, ambiguous startup environments where structure needed to be built. #LI-Remote#LI-CHERRYNE-TRUSTLY Applications for this role are accepted on an ongoing basis. SALARY RANGES IN US-BASED ROLE POSTINGOur salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, and other perks and benefits. WHAT WE OFFERAt Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. We embrace a remote-first culture that empowers you to balance your career ambitions with personal fulfillment. At Trustly, we foster a workplace where everyone feels they belong-a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. The total compensation packages include competitive salaries, bonus plans, and stock options. We offer innovative perks and benefits packages that include: - Flexible paid time off & generous PTO accrual plans - Comprehensive medical, dental, vision, and other insurances - FSA & HSA plans for medical and dependent care - Home office set-up allowance - Internet stipend - Retirement plan match for 401k and RRSP - Gender-neutral paid parental leave, and more! (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

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.

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,

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.