Scientist jobs at Collabera - 5271 jobs

A healthcare technology company in San Francisco is seeking an experienced Research Scientist specializing in Vision Language Modeling. The role involves designing and scaling advanced models for medical imaging and requires deep expertise in multimodal learning, especially in radiology. Ideal candidates will have a strong background in implementing complex models and possess hands-on experience in medical imaging applications. #J-18808-Ljbffr

A leading medical technology company in San Francisco is seeking a Research Scientist with expertise in Perception. The role involves designing and scaling vision foundation models for radiology applications. Candidates should have robust experience in computer vision including training vision encoder models and applying machine learning techniques. This position significantly impacts AI-assisted diagnosis while maintaining clinical rigor. #J-18808-Ljbffr

About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Scientist with deep expertise in Perception to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple modalities including X-rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment. Key Responsibilities Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks. Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data. Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment. Stay current with cutting-edge research in computer vision and medical imaging AI. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. Qualifications 6+ years of academia/industry experience in computer vision/machine learning Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining. Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI) Strong software engineering skills and ability to write production-quality code Preferred Qualifications Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI) Experience with 3D medical image processing and retrieval tasks Knowledge of vision-language models and multimodal learning Experience with model interpretability and explainability methods Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.) #J-18808-Ljbffr

About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting‑edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product‑market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Scientist with deep expertise in Vision Language Modeling (VLMs) to join our ML team. You'll be at the forefront of developing and deploying state‑of‑the‑art multimodal models for clinical use in radiology settings. This role focuses on training and fine‑tuning vision‑language models (VLMs) that can generate accurate & grounded radiology reports across multiple imaging modalities including X‑rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, advancing the state‑of‑the‑art in grounded medical report generation, model alignment, and inference‑time reasoning while maintaining the clinical rigor required for healthcare deployment. Key Responsibilities Design, train, and scale vision‑language foundation models for radiology applications. Develop and implement advanced post‑training strategies including preference optimization (DPO, IPO, KTO), reinforcement learning from human feedback (RLHF), and other alignment techniques to improve clinical accuracy and reduce hallucinations. Research and deploy inference‑time compute scaling techniques such as chain‑of‑thought reasoning, self‑refinement, and test‑time training to enhance model performance on complex diagnostic cases. Pioneer grounded report generation capabilities, enabling models to spatially localize findings within medical images using bounding boxes or segmentation masks. Design rigorous evaluation frameworks that assess text for medical accuracy and writing style. Contribute hands‑on to all stages of model development including dataset curation, architecture design, distributed training, post‑training optimization, and production deployment. Stay current with cutting‑edge research in vision‑language modeling, medical AI, and model alignment techniques. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical VLMs at scale. Qualifications 6+ years of academia/industry experience in vision‑language modeling, multimodal learning, or related fields Deep expertise in training and fine‑tuning large vision‑language models (e.g., LLaVA, Flamingo, CogVLM, Qwen‑VL, or similar architectures) Strong foundation in modern post‑training techniques including: Preference optimization methods (DPO, IPO, ORPO, KTO) RLHF and reward modeling Inference‑time compute scaling and reasoning strategies Constitutional AI and other alignment techniques Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training large models on multi‑GPU/distributed systems Experience with autoregressive language modeling and instruction tuning Hands‑on experience with medical imaging applications, particularly radiology report generation Strong software engineering skills and ability to write production‑quality code Preferred Qualifications Publications at top‑tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, MICCAI) Experience with grounded generation tasks (visual grounding, referring expression comprehension) Knowledge of evaluation methodologies for long‑form generation, including factuality assessment and hallucination detection Experience with 3D medical image processing and temporal modeling Familiarity with clinical NLP and medical knowledge representation Experience with model interpretability, explainability, and uncertainty quantification in safety‑critical applications #J-18808-Ljbffr

The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is seeking to hire a Staff Scientist in the Nanofabrication Facility. This individual is expected to develop and lead a research program in quantum phenomena focused on fundamental understanding and materials targeting breakthroughs in coherence and scalability for quantum computing and quantum sensing. Candidates at every level of experience, ranging from early-career (career track) to experienced staff scientist, are encouraged to apply. This is an opportunity to join a vibrant research community dedicated to excellent science and international collaboration. The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is a national user center for nanoscale science - one of five Department of Energy Nanoscale Science Research Centers. A multidisciplinary research center at the forefront of nanoscale science, the Molecular Foundry is a knowledge-based user facility that provides state-of-the-art expertise and instrumentation to a diverse, international community, drawing users from academia, national labs and industry. Here, you will be able to establish a leading research program taking advantage of our collaborative, interdisciplinary center. The Staff Scientist position at the Molecular Foundry is a full-time principal investigator position with a working model based on equal division (50%/50%) of effort between user support and independent, world-class research. Beyond your own scientific research, you will support the research of a diverse and collaborative user community, who access the Molecular Foundry via a peer‑reviewed proposal process. Your unique research portfolio will attract and expand the Molecular Foundry user community and complement the environment of ongoing multidisciplinary research across LBNL. This position is open to both career-track and career applications and the level at which the candidate will be hired is based on the experience and accomplishments. What You Will Do: Design and lead a robust individual research program related to the Molecular Foundry's research theme around materials for quantum science. This individual is expected to develop and lead a program on fundamental understanding of quantum phenomena in materials targeting breakthroughs in coherence and scalability in quantum computing and sensing. Develop a thriving multidisciplinary user program, drawing from industry, academia, and national labs, through the development of unique expertise and capabilities. Provide users with support through your own efforts, hands‑on and with your expert knowledge, in the area of nanofabrication. Manage research efforts surrounding the characterization and measurement of superconducting devices using our low‑temperature and high magnetic field physical property measurement system, as well as our ultra‑low temperature dilution refrigerator measurement tools. Use our newly commissioned quantum information science cluster deposition system and low temperature materials characterization capabilities to develop world class novel superconductor fabrication processes for next‑generation superconducting quantum devices. Integrate results from our materials deposition systems into unified data architectures enabling automatic characterization of superconducting thin films during growth. Combine the in‑process data, room temperature materials characterization, and low temperature material and device performance into fundamental datasets to enable machine learning models capable of predicting the key materials properties and process parameters for highly performant superconducting materials and device designs. Collaborate with other Foundry scientific staff members to provide scientific support for users and create and participate in collaborative research efforts beyond the single laboratory effort. Prepare scientific data for publication in refereed journals; and present findings at seminars and conferences. Supervise, mentor, and coach scientific and technical staff as appropriate. Provide technical direction to graduate students, postdocs, and research associates as appropriate, and assist in the management of research projects. Maintain a safe working environment and demonstrate respect for environmental protection, health and safety, and help instill those aspects in all staff and users of the Nanofabrication Facility. Maintain and develop a multidisciplinary and inclusive working environment using and building upon existing programs within the Molecular Foundry and Berkeley Lab. Share in user‑related operations, maintenance/administration, and development responsibilities within the Nanofabrication Facility. In addition to the responsibilities above, a Career Staff Scientist will: Perform all of the duties above with a high level of independence and autonomy and have demonstrated abilities for the above tasks. Have an extensive and proven track record of publications and collaborations within the scope of the primary research responsibilities for the position. What is Required: Ph.D. or equivalent degree in physics, chemistry, materials science and engineering, or another discipline relevant to nanofabrication, nanotechnology and nanoscience. Willingness to provide users with support through your own efforts, hands‑on and with your expert knowledge, in the area of nanofabrication. Excellent oral and written communications skills, open‑mindedness, and the desire and ability to collaborate with multiple research groups across disciplines. Productivity in areas related to nanoscale materials research, demonstrated by (for example) publications, talks at national and international meetings, and patents. Demonstrated ability to carry out independent research in a diverse, collaborative environment. Theoretical and practical expertise in nanofabrication instrumentation including reactive ion etching, atomic layer deposition, electron beam evaporation, sputtering, electron beam lithography and integrated ultra high vacuum systems. Knowledge and experience of safety practices and safety culture in a lab setting. In addition to the requirements above, a Career Staff Scientist: At least 5 years of professional research experience and an established track record working in nanoscience at academic, industrial or other research institutions. Be recognized as an active, high‑impact contributor in their specialized scientific field. Desired Qualifications: Experience running or directing ultra‑low temperature characterization experiments including but not limited to electrical transport measurements, high magnetic field characterization, and low background (ionizing radiation, EMI, IR/RF background, vibration…) device and material properties characterization. Demonstrated ability in performing and leading research, and an established track record working in nanoscience at academic, industrial or other research institutions. Excellent analytical and interpersonal skills; ability to work collaboratively with others towards broader shared goals, using clear judgment. Proven ability to communicate effectively and articulate a compelling scientific vision across all stakeholder groups. Required Application Materials: Statement of research experience and interests. (3 page limit) Application date: Priority consideration will be given to candidates who apply by December 15, 2025. Applications will be accepted until the job posting is removed. Appointment type: This is a full‑time 2‑year, career‑track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. A Career position will be considered for those who have relevant experience or for existing Career‑Track or Term staff who have already exhausted the number of years eligible to hold a Career‑Track role. Salary range: The expected salary for this position is $129,924 - $207,900, which fits into the full salary of $129,924 - $311,820 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience. Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA (4+ days of work onsite per week, with occasional work from home opportunities and travel‑related work opportunities). A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti‑discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. #J-18808-Ljbffr

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre‑training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high‑quality AI models should be available to all. Job Description As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible. You might be a good fit if you… Are comfortable working with large‑scale LLMs in the 10s to 100s of billions of parameters. Have solid ML and RL software engineering and scientific research skills. Have produced novel research related to fine‑tuning LLMs or improving upon pre‑trained LLMs. Have specialized expertise in topics like fine‑tuning, RLHF, LLM tool‑use, etc. Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology. Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public. Have strong communication skills and a desire to work on a small, fast‑paced team. Your Responsibilities Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users. Developing and implementing methods that extend and improve model capabilities, reliability, and safety. Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $150,000 - $190,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

A leading data and AI company in San Francisco is seeking a Research Scientist for the GenAI Team. The role involves advancing deep learning technologies and developing innovative AI solutions. Ideal candidates will have experience with large-scale LLMs and a passion for democratizing AI technology. Competitive salary range is $150,000 to $190,000 with benefits that foster a diverse and inclusive culture. #J-18808-Ljbffr

A leading research institute in San Francisco is seeking a Staff Scientist in the Nanofabrication Facility to develop a research program on quantum phenomena for applications in quantum computing. The role includes user support and independent research, offering opportunities to collaborate internationally. Candidates with a Ph.D. and expertise in nanofabrication are encouraged to apply. The position entails managing research projects and mentoring staff. #J-18808-Ljbffr

A leading customer service software company in San Francisco is seeking a Staff Machine Learning Scientist. The successful candidate will design AI solutions, own research projects, and collaborate with engineers and product managers. Ideal applicants will have a strong background in Machine Learning and NLP, along with proven problem-solving abilities. This role offers opportunities to shape the product roadmap while impacting real-world applications, all in a supportive and innovative environment. #J-18808-Ljbffr

A leading customer service software provider in San Francisco is hiring a Staff Machine Learning Scientist to lead AI product solutions. The role involves designing innovative AI systems and collaborating with a talented team on complex projects. Ideal candidates will have a deep understanding of machine learning, natural language processing, and effective communication skills. You will have the opportunity to work on cutting-edge technology at a dynamic company with a commitment to inclusivity and innovation. #J-18808-Ljbffr

Battery Scientist / Cell Design Engineer Required - Northern California Our client is an innovative battery cell manufacturer developing the next generation of lithium-ion technologies. They're expanding their engineering team and are looking for a Cell Design specialist to take a lead role in advancing new cell concepts and improving existing designs. In this position, you'll work at the heart of their R&D efforts, owning key elements of cell design and contributing to decisions that will shape future products. Key Responsibilities: Lead the design, development, and optimization of advanced Li-ion cell technologies. Work closely with teams across materials, chemistry, and manufacturing to progress new ideas into practical solutions. Plan and execute testing programs, analyse performance data, and address design challenges. Support and mentor engineers, helping to strengthen technical capability across the group. Establish and refine best practices for cell design and assembly processes. Drive continuous improvement initiatives within cell engineering. Qualifications: PhD in Materials Science, Chemical Engineering, Electrochemistry, or a related discipline; a Master's degree with strong relevant experience will also be considered. Practical experience designing and developing custom lithium-ion cells. Deep knowledge of battery materials, chemistry, and manufacturing methods. Ability to diagnose complex technical issues and propose workable solutions. Clear, confident communication skills and ease working with cross-functional teams. Interested Cell Design Engineers with a proven track record in the design and development of customized lithium-Ion battery cells should apply without delay Please note Role requires you to be onsite in Northern California Due to ITAR compliance, H1-B sponsorship / transfer is not possible

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr

Initiates and completes routine in vitro studies in an independent, efficient, and timely manner, with minimal supervision. Interprets the outcome of those experiments and proposes appropriate follow-up; troubleshoots effectively. Assists in the design and execution of non-routine cell-based in vitro and biochemical assays; conducts exploratory experiments with minimal supervision. Performs literature searches and extracts relevant information from literature and published protocols. Independently operates and is responsible for lab equipment; troubleshoots effectively. Communicates their own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports; provides input for scientific reports. Reports and treats data with a high level of integrity and ethics. Maintains accurate and up-to-date electronic lab notebooks. Complies with applicable regulations, performing all work in a safe and compliant manner; maintains proper records in accordance with Standard Operating Procedures and policies. Skills: Experience in aseptic animal tissue culture techniques and basic molecular biology techniques including nucleic acid extraction, RT-PCR, Western Blot, ELISA, transfection is required. Experimental design, execution, and interpretation in these areas will be required. oven problem-solving ability and eagerness to learn. Ability to evaluate new technologies and assist in incorporating them into our research. Written and verbal communication skills: concise and accurate reporting of technical data and information Proficiency with computers and data analysis software such as Microsoft Excel and GraphPad Prism. Ability and willingness to work effectively in a highly collaborative environment. Education: Master's degree or bachelor's Degree with 3+ years' experience in related scientific discipline; pharmaceutical, biotechnology or CRO experience is highly desirable

A forward-thinking sleep technology company in San Francisco is seeking a research scientist to leverage AI and Machine Learning to transform health and fitness experiences through innovative technology. The ideal candidate has a PhD in a relevant field and practical experience in machine learning application, with a passion for health technologies. This role promises immediate responsibilities, collaboration with exceptional talent, and equitable compensation, while promoting a workplace that values innovation and excellence. #J-18808-Ljbffr

This role is for a Data Scientist (MMM) on a 6‑month contract, paying $50+/hour, remote in the U.S. Requires a Ph.D., 3+ years in data analytics, and experience with MMM, digital marketing, SQL, Python, and cloud technologies. Responsibilities Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders Manage and streamline the data extraction process with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work with a cross‑functional team to ensure that the quality of the data is of the highest standard Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes Qualifications Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field 3+ years of industry experience in a data, analytics, and data science role Experience with advertising, measurement, and/or digital marketing analytics Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc. Proficient coding skills (SQL/Python/R) Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop) Proficient BI/BA data visualization tools (Tableau, Power BI, ThoughtSpot, Looker, etc.) Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) Experience with modeling and machine learning Experience with cloud technologies such as GCP, AWS, and Azure Experience in integrating, structuring, and analyzing large amounts of data from diverse sources Strong project management skills, attention to detail, and documentation skills Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and ‘tell a story that provides insight into the business Passion for working in a fast‑paced agile environment A collaborative mindset and sense of curiosity Experience with predictive modeling algorithms and optimization techniques Experience applying statistics to business problems About FocusKPI FocusKPI is a data science and technology firm specializing in predictive analytics practice and methodologies. Founded in 2010, FocusKPI, Inc. (FocusKPI) is a U.S. company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts. 85 Great Portland Street, London, England, W1W 7LT #J-18808-Ljbffr

At Synectics, we're the leading data management service provider in the environmental industry. Based in Sacramento, CA since 1996, we specialize in web-based solutions for Federal government clients. Our team of scientists and programmers is passionate about revolutionizing our clients' workflows with technology and training. Check out the job details and see why you should join us! We're hiring for a dynamic position where you'll collaborate with our team, manage environmental data, and support client projects. If you've worked as an Environmental Scientist or Geologist, Laboratory Analyst or Project Manager, Project Coordinator, or in a similar role, this could be the perfect fit for you! If you're passionate about making a difference and have experience in environmental programs or project management, apply now! Responsibilities: Data Management: Assist in collecting, identifying, and organizing environmental data and documents. Collaboration: Work closely with the project team to achieve goals, timelines, and schedules. Coordination: Track field sampling activities and coordinate with clients and laboratories. Client Interaction: Host project status meetings with clients to provide updates and gather feedback. Data Analysis: Aggregate environmental data into databases for analysis and reporting. Training Support: Support training initiatives through live webinars and video production. Minimum Qualifications (Required): Education: Bachelor of Science from an accredited university in Environmental Science, Geology, Chemistry, or a related discipline. Experience: At least 1 year of experience in environmental work, such as field sampling, laboratory analysis, or project management. History of managing multiple assignments and projects simultaneously. Proven track record of delivering client-focused service and effective communication. Experience in data management. Excellent written and verbal communication skills. Desire to be part of a dynamic in-office team. This position will be a great fit for you if you have one of the following experiences: 1 - 3 years of environmental Federal Program experience at an A/E firm 1 - 3 years of experience at an accredited laboratory supporting Department of Defense programs 1 - 3 years of experience with environmental project management Why Join Synectics? At Synectics, we provide an exciting opportunity to advance your career in a collaborative and supportive environment: Career Growth Opportunities: With over 25 years in the industry, we offer stability, comprehensive training, and clear pathways for professional development. Balanced Time Off: Enjoy a structured Paid Time Off (PTO) plan, Paid Sick Leave (PSL), and 11 paid federal holidays to help you manage personal and professional commitments. Comprehensive Benefits Package: Benefit from a 401(k) plan with company matching, robust health insurance (including dental, vision, and life coverage), and resources to support your growth. Impactful Work: Be part of a team collaborating on meaningful projects for the Department of Defense and other federal clients, making a real difference in the industry. If you're looking for an exciting role in a company that invests in your future, we'd love for you to join us at Synectics! Pay Range There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, number of people reporting to you, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position is: $57,227 - $64,613