Lead scientist work from home jobs - 266 jobs

A leading health services provider is seeking a Senior Responsible AI Data Scientist. This remote role focuses on ethical AI development across various teams, requiring strong Python skills and experience in the healthcare industry. You'll ensure that AI systems align with organizational values and regulatory standards. Candidates must have a background in quantitative fields with significant experience in machine learning applications. #J-18808-Ljbffr

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.

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.

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.

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

SummaryIn this role you will be a leading Scientist focused on defining and executing innovative strategies for biocompatibility evaluation and risk analysis of medical devices in the GE HealthCare Imaging/ X-ray/ CT family of businesses. This will include leading strategy for biocompatibility-related standards, acting as GE HealthCare's voice as policies develop, and overseeing programs to ensure successful implementation internally and with external bodies such as standard organizations and regulatory authorities. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job DescriptionRoles and Responsibilities Design and execute medical device biocompatibility strategies to assure user and patient safety through the application of current biological evaluation and toxicological principles in support of new product development and sustaining activities. Standardize test methods across multiple material and device types, leveraging common data to derive meaningful conclusions on the potential for biocompatibility concern. Lead and author Biocompatibility deliverables - e.g., biological evaluation plan & reports, hazard analysis, white paper, technical memo, and other relevant activities in support of global programs. Implement the use of ISO 10993 series, 21CFR58 GLP for non-clinical studies, and/ or other regulatory guidance documents to qualify GE Healthcare products. Provide technical and strategic input to meet business objectives at the project team level while assuring compliance with GE Healthcare and external standards. Interpret raw material, finished device data, and literature to assess overall risk to patient. Develop justification to address ISO 10993 - 1 endpoints based on study data and literature. Independently review literature and identify relevant information to support product development and registration. As needed - engage in standards organization and/ or regulatory committees to ensure emerging regulations are based on well-established science and toxicological principles. Keep upto date on regulatory requirements and assess the impact of new standards and/or regulations to enable the generation of appropriate strategies for biocompatibility work. Qualifications Bachelors Degree with 10 + years OR Master degree with 8 + OR PhD with 6 + years experience in physical/organic/biochemistry, toxicology, material science, bioengineering, or an equivalent scientific field. Expert knowledge in use and application of ISO 10993 series of standards 6 years experience in design and development of medical devices that are categorized as FDA Class I, II and Class III. Experience conducting material and chemical characterization of medical devices, physicochemical analyses of polymeric materials, metals, and ceramics. Excellent verbal and written communication and presentation skills. Advanced experience and proficiency with MS Office word processing, spreadsheet, presentation, and collaboration applications. Desired Characteristics American Board of Toxicology Diplomate (DABT), or other national equivalent such as ERT. Experience leading test lab operations that support medical device biocompatibility evaluations. Experience in mechanical design (15+ years). Experience as a lead convenor of a Technical Committee (TC) or Working Group (WG) of a Standards Development Organization (SDO) or National Standards Body (NSB) such as ISO, ANSI, or AAMI. Experience preparing communications for and interacting with multiple regulatory bodies world-wide such as FDA, NMPA, TGA, MHLW, PMDA, CDSCO, BfArM, ANSM, etc. Experience with high risk, life supporting, and life-sustaining products. Demonstrated life-long learner; eagerness to obtain new skills and knowledge. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership -always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-BR3 #LI-Hybrid GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes

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.

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 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.

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.

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-RemoteApplications 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.

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

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.

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.

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations. * Provide expert toxicological analysis and consulting on matters involving human health risk, chemical exposure, product safety, and regulatory compliance. * Review and interpret toxicological data, exposure assessments, and risk evaluations. * Serve as a subject matter expert in litigation support and regulatory. * Maintain strong relationships with existing and prospective clients. * Develop proposals, scopes of work, and pricing strategies for toxicology-related services. * Not expected to serve as a testifying expert. Qualifications * Ph.D. in Toxicology or board certification if the Ph.D. is in a related field. * Minimum of 5 years of professional experience managing complex toxicology projects. * A consulting background is desirable but not mandatory. * Strong understanding of regulatory frameworks (e.g., REACH, CLP, OSHA, EPA, etc.). * Proven success in client relationship management. * Excellent communication, presentation, and interpersonal skills. * Strong technical writing skills. * High attention to detail and enjoys working on a variety of different projects simultaneously. Additional Information Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team's needs. * Our flexible work environment allows employees to work remotely, when needed * Flexible Time Off Policy * Medical, Dental, and Vision Insurance * 401k Match * Commuter Benefits A reasonable estimate of the salary range for this role is $150,000 - $180,000. Any offered salary range is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the J.S. Held Online Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click here to learn more about the personal information we collect and here to learn about additional privacy rights that may be available. Please explore what we're all about at *************** EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email *************** and include "Applicant Accommodation" within the subject line with your request and contact information. #LI-IM1

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .