Scientist jobs in Chula Vista, CA - 523 jobs

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems has an opening for a Staff Data Scientist to join our team of qualified, diverse individuals within the Advanced Manufacturing Technology Organization. This position can be located in San Diego or Palmdale, CA; Clearfield, UT; St. Augustine or Melbourne, FL Locations. In this role, you will Provide leadership/direction to ensure technology initiatives and opportunities for process improvements are systematically identified, pursued, and supported. Develop architectures and concepts for advanced digital technologies with a focus on implementation within Northrop Grumman Interact with customers (internal and external) Reach out and work with colleges, universities, government, supplier as part of development and improvement projects Provide leadership/direction to ensure technology initiatives and opportunities for process improvements are systematically identified, pursued, and supported. Introduce and develop new technologies for the manufacturing floor Lead projects consisting of cross functional teams of high performing engineers developing advanced systems designs and concepts. Provide technical leadership and oversight to achieve efficient, effective, and innovative Engineering solutions Apply new technologies as well as common designs and products enabling rapid development, prototyping and affordable solutions. Basic Qualifications Bachelor of Science degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 14 years of experience in engineering; OR Master of Science degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 12 years of experience in engineering; OR PhD in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 10 years of experience in engineering. Secret Clearance Periodic Re-investigation within the last 5 years Knowledge of data gathering, cleansing and transformation techniques Experience with common data science toolkits/languages such as python/R, scikit-learn, PyTorch/TensorFlow, matplotlib, numpy, C++ or python Exceptional analytical skills. Familiarity with cloud Knowledge and experience performing model uncertainty analysis, error modelling, and/or error propagation. Knowledge of best practices in data analysis. Excellent interpersonal and communication skills. Experience developing mathematical models of dynamic systems from first principles. Knowledge and experience with System Identification techniques using statistical methods to validate dynamic system models with test data. Experience performing parametric and non-parametric system identification. Experience with data acquisition systems and/or post-processing experimental test data. Knowledge and experience performing model uncertainty analysis, error modelling, and/or error propagation. Fluent with Python or Matlab. Documenting processes and maintaining data records. Preferred Qualifications Secret Clearance Periodic Re-investigation within the last 5 years Special Access Program (SAP) Current Proficient with cloud Experience in hardware/software integration of manufacturing systems Experience with querying databases and defining schemas (MS SQL) with the ability to perform data analysis and report findings Proficient in Microsoft Excel and PowerPoint Experience with high volume production ETL pipelines Experience with production assembly/fabrication including Digital Transformation, Augmented Reality/Virtual Reality, Systems Integration, IIoT, RFID, Cloud Based Applications, and/or production manufacturing operations Working knowledge of classified information systems infrastructure Digital Manufacturing experience Architecture, Design & Integration experience for engineering systems and software Technical Writing capability Project / Program Management skills (proposal creation, scheduling, budget tracking) Strong Familiarity with Process Development & Controls Ability to lead through, overcome and adapt to obstacles and challenges Ability to deal effectively with change and challenges and helps others to do the same Ability to travel 10-15% of the time Primary Level Salary Range: $178,600.00 - $310,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. #J-18808-Ljbffr

A biopharmaceutical company in San Diego seeks a Principal Scientist to lead an in vitro pharmacology team. Candidates should have a Ph.D. and over 8 years in drug discovery, particularly with GPCRs. Responsibilities include designing assays, managing a team, and collaborating on research projects. The competitive salary ranges from $158,000 to $197,000, with comprehensive benefits including health insurance and PTO. #J-18808-Ljbffr

Genesis Molecular AI is assembling a world-class computational chemistry team to revolutionize drug discovery through cutting-edge machine learning and biophysical simulation. We are seeking a Principal CADD Scientist to join our team, working directly with scientists in our state-of-the-art wet lab and with our distributed computational chemistry and CADD science teams across the US. What You Will Do (Key Responsibilities) Utilize a combination of industry-standard and proprietary AI-powered CADD tools to guide small molecule drug discovery programs across a diverse target portfolio, including novel targets with limited chemical precedents. Use approaches like virtual screening, molecular simulation, and potency and ADMET prediction to support key decision-making in drug discovery efforts. Collaborate closely with medicinal chemists in molecular design and the development of project-specific computational approaches. Act as a cross-team connector, effectively communicating between our computational chemistry and medicinal chemistry teams to ensure seamless information flow and collaborative decision making. Adapt to a fast-paced environment where innovation and quick iteration are encouraged. What you'll bring PhD in Computational Chemistry, Structural Biology, or a related field. This particular role may also be suitable for PhD-level scientists with degrees in organic or medicinal chemistry with extensive experience in the lab, who have transitioned into industry roles in CADD. Deep understanding of structure-based drug design and protein-ligand interactions. Proficiency with industry-standard CADD tools such as MOE, PyMOL, and Schrodinger Suite. Minimum of 5+ years of industry experience as a CADD scientist in pharma or biotech, with hands-on experience in active drug discovery programs. Onsite in our San Diego lab is preferred for this role, to be able to collaborate with our scientists. We are open to remote team members too. What we offer Competitive Pay Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees) Stock Option Eligibility 401(k) Plan Open PTO Policy Paid Company Holidays Subsidized lunch and snacks at our offices Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company's generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. Position Summary Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Aetna's Medicare Stars Team is growing and expanding! This is an exciting opportunity to join a high performing, collaborative team as a Data Scientist. This individual will focus on leveraging the Stars Data Ecosystem for Business Analytics for improved understanding of business patterns, predict future trends, and implement effective solutions to various challenges. The role will manage successful delivery of scalable analytics solutions on Snowflake that combine structured and unstructured data, enable agentic document analytics at scale, and expose insights via natural language queries powered by LLMs (including OpenAI). Own end-to-end implementation: ingestion, unified data modeling, vectorization/embeddings, retrieval pipelines, Snowflake compute (Snowpark), and integration with LLM-driven applications. This role will utilize expertise in statistical analysis, machine learning, and data visualization to analyze complex data sets, then derive actionable insights that inform business strategies and decisions. Key Responsibilities Design and implement unified data pipelines in Snowflake that combine structured tables, semi-structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). Build agentic document analytics workflows: large-scale document ingestion, text extraction, cleaning, chunking, embeddings, vector stores, and efficient retrieval for analytic queries. Implement Natural Language Query (NLQ) interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation using External Functions, Snowpark, and/or secure API patterns. Create performant retrieval-augmented generation (RAG) architectures that leverage Snowflake-stored embeddings and external or internal vector indexes as appropriate. Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. Implement data modeling and governance patterns within Snowflake: schemas, role-based access control, masking, lineage, and metadata to support analytics and compliance. Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production-ready solutions. Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non-technical stakeholders. Required Qualifications Technical Skills Statistical Analysis: Proficiency in statistical methods and software such as R, SAS, and Python. Data Visualization: Ability to create compelling visualizations using Tableau, Power BI, and D3.js. Database Management: Knowledge of SQL and NoSQL databases for efficient data storage and retrieval. Programming: Strong programming skills, particularly in Python, Java, and C++. Experience with Snowflake: Designing and implementing unified data pipelines and data modeling within Snowflake. Document Analytics: Building agentic document analytics workflows with embeddings and retrieval. Natural Language Query (NLQ): Implementing NLQ interfaces for analytic queries and retrieval flows. LLM Integration: Integrating Snowflake with LLMs via External Functions, Snowpark, or secure API patterns. Retrieval-Augmented Generation (RAG): Creating RAG architectures leveraging Snowflake embeddings and vector indexes. Snowpark Development: Authoring Snowpark, Python, and SQL transformations, Streams & Tasks, and job orchestration. Governance and Security: Implementing schemas, role-based access control, masking, lineage, and metadata within Snowflake. Collaboration: Partnering with product, ML/AI, BI, and engineering teams to deliver production-ready solutions. Monitoring and Cost Controls: Building observability and cost controls for compute, storage, and API usage. Documentation: Producing technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations. Analytical Skills Critical Thinking: Ability to think critically and approach problems from multiple perspectives. Quantitative Analysis: Strong quantitative skills to interpret and manipulate data effectively. Attention to Detail: Meticulous attention to detail to ensure accuracy in data analysis and model development. Interpersonal Skills Communication: Excellent verbal and written communication skills to convey complex findings to non-technical stakeholders. Team Collaboration: Ability to work collaboratively with diverse teams to achieve common goals. Leadership: Capability to lead projects and mentor junior team members. Preferred Qualifications Experience: Relevant experience in data analysis, machine learning, and business intelligence. Certifications: Professional certifications in data science, machine learning, or business analytics can be beneficial. Education A bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) are highly desirable. Anticipated Weekly Hours 40 Pay Range The typical pay range for this role is: $64,890.00 - $222,480.00. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We anticipate the application window for this opening will close on: 01/24/2026. #J-18808-Ljbffr

A technical services support company is seeking Junior to Senior Level Data Scientists to join their team across various locations in the U.S. Candidates will develop analytics applications, apply machine learning, and visualize data findings. Required qualifications include education or extensive experience in relevant fields, along with security clearance. Comprehensive benefits package included. #J-18808-Ljbffr

A leading financial software company seeks a Staff Data Scientist in San Diego to drive product strategy through data analysis and modeling. You will perform A/B testing, mentor junior analysts, and utilize advanced analytical tools to influence business decisions. Ideal candidates have 7-10 years in analytics, strong SQL and Python skills, and a master's degree in a relevant field. The position offers a competitive compensation package, including cash bonuses and equity rewards. #J-18808-Ljbffr

Intuit is hiring a Principal Data Scientist to join our Intuit AI team. Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role, you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life. Responsibilities Practices excellent leadership and communication skills to influence and lead teams and to evangelize data science across the organization. Leads team's work in one or more of: ML, NLP, Statistics, or Optimization, performs hands-on work in these domains. Weighs ROI considerations of general and tailored capabilities for projects in the team. Creates new capabilities that solve critical business problems. Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends. Influences business leaders to shape mission-critical projects. Creates a multi-year vision that connects product strategy with technology strategy. Drives architecture decisions, influences, and contributes to ML platform architecture and strategy. Leads team and partners to the successful delivery and integration of ML solutions. Conducts design reviews, holds teams to technical and operational rigor. Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community. Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position is Bay Area California $219,500 - 297,000, Southern California $212,500 - 287,500. This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Minimum Requirements: PhD / MS in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field. Solid knowledge of statistical techniques. 3+ years as either a lead in a data science role or in a management position in data science. Strong communication skills and proven experience as an influencer at the executive level. Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization. 6+ years of experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.). 6+ years of experience with a general-purpose programming language (e.g. Python, Scala, etc.). Strongly Preferred: PhD in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field. Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization. Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns. Proven track record of influencing business leaders to shape mission-critical projects. Proven track record of leading teams to successful delivery of ML solutions. Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel. #J-18808-Ljbffr

Intrinsic First, LLC Data Scientist II San Diego, CA·Full time Apply for Data Scientist II ***MUST reside in the greater SAN DIEGO Metropolitan Area*** We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. About Intrinsic First, LLC Intrinsic First was founded on the academic theories associated with intrinsic motivation; everything starts from within. Intrinsic motivation generates vitality and is formed through choice (autonomy), competency (growth), and community (purpose and interaction). Our mission is to make the world a better place to work through leadership development, transparent communication, and positive interactions. We believe in trust, transparency, equity, balance, proactivity, growth, and fun. With a focus on exceptional people and exceptional operations, Intrinsic First creates a sustainable and positive culture. Description Collect, process, and analyze large structured and unstructured datasets from multiple sources. Develop, test, and deploy machine learning models to solve business problems and optimize operations. Design and implement statistical models, data pipelines, and predictive analytics solutions. Communicate findings and insights clearly through visualizations, dashboards, and reports. Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation. Stay current with emerging data science methodologies, tools, and industry best practices. Ensure compliance with data governance, privacy, and security standards. Reside within a reasonable commuting distance of the designated worksite or client facility to support periodic on-site meetings, reviews, and inspections in accordance with contract and security requirements. Participate in both on-site and virtual work as needed; while hybrid or telework arrangements may be approved, regular in-person presence is required to fulfill client, program, and compliance obligations. Ensure availability for site visits and coordination activities that support contractual commitments and operational needs. Education & Certifications Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or Bachelor's degree with additional 2 yrs relevant experience). Experience and Qualifications 2-4+ years of hands-on, applied experience in data science, machine learning, or analytics. Proficiency in Python or R for statistical modeling, data wrangling, and machine learning. Experience developing, tuning, and deploying models using frameworks such as Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) strongly preferred. Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred. Knowledge, Skills, and Abilities Strong analytical thinker with the ability to translate data insights into actionable business solutions. Demonstrated ability to own projects from concept to deployment, balancing autonomy with collaboration. Detail-oriented and proactive, with a passion for learning emerging data tools and methods. Proficiency in Python or R for statistical modeling, data wrangling, and machine learning. Strong knowledge of SQL and experience with both relational and non-relational databases. Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn). Demonstrated ability to bridge advanced research and applied data science solutions preferred. Ability to obtain a DOD Secret clearance. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. #J-18808-Ljbffr

A leading global healthcare firm in San Diego is seeking a highly motivated scientist to contribute to biotherapeutics development. The successful candidate will discover and engineer antibodies, oversee experiments, and utilize various molecular biology techniques. Applicants should have at least 6 years of relevant experience and a strong background in flow cytometry. This position offers competitive compensation ranging from $110,250 to $187,000 along with comprehensive benefits. #J-18808-Ljbffr

• Primarily responsible for commercial manufacturing. Also responsible for the transfer of manufacturing processes from R&D to Manufacturing and continuous improvement of existing processes. Essential Duties and Responsibilities The incumbent may be asked to perform other function-related activities in addition to the below mentioned responsibilities as reasonably required by business needs. • Maintains the Pilot Plant laboratory under cGMP conditions. • Produces development, pilot, and production materials per written instructions. • Completes ERP transactions. • Stocks and maintains the laboratory supplies. • Keeps accurate records and documentation. • Completes laboratory work and associated paperwork by assigned completion dates. • Produces notebook materials per written instructions. • Develops manufacturing processes for transfer to Manufacturing. • Assists with execution of process validation of new and existing manufacturing processes. • Improves manufacturing processes. • Completes cycle counts. • Washes lab ware. Qualifications Education • Bachelor's degree (sciences) Experience • 1+ years' experience preferred Skills • Basic knowledge of QMS (Quality Management System)/GMP requirements Must follow all applicable FDA regulations and ISO requirements.

In Vivo Research Associate II/III, Large Animals (Contract to Hire) Looking to hone your animal surgery skills? One of San Diego's leading biotech companies is looking for a competent, reliable Research Associate to add to their dynamic team. This role offers the opportunity to build upon the foundation you've already laid in your industry experience and refine your in-vivo surgical skills. Don't miss this rare opportunity to learn from top professionals, grow into a more senior role, and excel in a challenging and supportive environment. What you will do: Administer test substances by various dosing methods, perform catheter placements, and prepare study activities. Manage and observe animals pre/post-surgery for general health and well-being. Collection of biological specimens including but not limited to skin, tissue, and blood from all animal species onsite. Who you are: AS OR BS with at least 4 years of experience with medical device studies or similar. Must have experience handling large animals (pigs, sheep, goats, rabbits, etc) Experience with dosing/injections (IM, SubQ, IV, IP, oral) Experience in a surgical environment is preferred. What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and geographic location. The expected range for this role is $28.00 to $35.00 per hour. Please note this range is an estimate and actual pay may vary based on qualifications and experience. Please email your resume to sshields@provenrecruiting.com if you'd like to work alongside some of the finest professionals in the Life Sciences industry! Note: We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

Scientist, Protein Production and Characterization AlivaMab Biologics is a rapidly growing leader in the discovery of human antibody therapeutics, trusted by top-tier pharmaceutical and biotechnology companies to deliver panels of drug-quality human antibodies. We deliver on our partners' design goals, from simple to extraordinarily challenging, through collaborative access to our scientists' creativity and experience combined with proven technologies, including the AlivaMab Mouse suite of transgenic mice. Our organization is dedicated to creating a healthier world through partnerships that bring better medicines to patients faster, and we recognize our success starts with hiring people who share our passion for science. We are seeking a highly motivated and skilled Scientist to join our Protein Sciences team and contribute to both day-to-day operations and the advancement of Protein Science workflows. This position will focus on the design, optimization, and execution of transient transfection processes at various scales for antibody and protein production in mammalian expression systems. The successful candidate will leverage expertise in biophysical characterization and biochemical modification to evaluate key protein attributes. This position will report to the Associate Director of Protein Sciences and work closely with scientists in the Antibody Discovery, Antibody Engineering, Protein Sciences, and Project Management teams. The ideal candidate will drive innovation through process refinement, high-throughput automation, and growing proficiency of chemical conjugation techniques. This role offers the opportunity to work in a fast-paced, collaborative research environment, where creative solutions and a strong scientific approach are key to success. Responsibilities Responsibilities: Independently design, plan, and execute transient transfection workflows for antibody and protein production across various mammalian expression systems Develop, design, and optimize protein purification methods to enhance throughput, quality, and efficiency, as required Lead developability assessment studies by designing and conducting analytical experiments to evaluate protein stability, purity, and key biophysical characteristics Support production of complex construct design strategies (e.g VLPs, nanodiscs etc.), to enable immunization antibody discovery campaigns against challenging targets Drive implementation of automated high throughput processes to support protein production workflows using Bravo, and other robotic systems Maintain meticulous experimental records using electronic notebook (Benchling), and communicate results clearly through written reports and presentations to support project progression and scientific decision-making Contribute innovative ideas and collaborate effectively across teams to foster research excellence and ensure project success in a fast-paced environment Qualifications Qualifications: Ph.D. in Biochemistry, Chemistry, Molecular Biology, Protein Engineering, or a related field with a minimum of 2 years of industry experience or MS with minimum of 6 years of direct industry experience is required Proven hands-on experience with multiple mammalian expression platforms is required Proficiency with AKTA instrumentation, and a broad range of purification techniques, including affinity chromatography, ion exchange, HIC, and SEC, as well as standard protein QC methodologies is required Experience with therapeutic antibody developability assessment is highly desirable Strong analytical, troubleshooting, and communication skills with exceptional attention to detail Motivated self-starter with excellent organization, teamwork, and a passion for scientific innovation About AlivaMab Biologics AlivaMab Biologics sets its partners' antibody discovery programs on the fastest and most de-risked path through discovery and development. Trusted by top-tier pharmaceutical and biotechnology companies, AMB delivers drug-quality, fully human antibodies on exceptional timelines. AMB achieves its partners' design goals, from simple to extraordinarily challenging, through the generation and function-first screening of large, molecularly diverse panels of antibodies. AMB focuses on rapid and efficient delivery of antibodies, characterized for function, kinetics and developability, and engineering for alternative formats, including multi-specifics and CARs. The AMB team's experience and passion for antibody drug discovery and development combined with the use of trusted, proven technologies, including Ablexis' AlivaMab Mouse platforms, ensure the highest probability of success. The salary range for this position considers various factors, including skills, experience, training, certifications, and organizational needs. Note that this range does not reflect any geographic adjustments based on the location where the role will be based. At AlivaMab Biologics, it is uncommon for a new hire to start at or near the top of the salary range, as compensation is tailored to each individual's skills and breadth and depth of experience. The current estimated range is $98,500 - $140,000, plus a bonus target, benefits, and equity. AlivaMab Biologics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, gender identification, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. #LI-DNI

Scientist, Protein Production and Characterization AlivaMab Biologics is a rapidly growing leader in the discovery of human antibody therapeutics, trusted by top-tier pharmaceutical and biotechnology companies to deliver panels of drug-quality human antibodies. We deliver on our partners' design goals, from simple to extraordinarily challenging, through collaborative access to our scientists' creativity and experience combined with proven technologies, including the AlivaMab Mouse suite of transgenic mice. Our organization is dedicated to creating a healthier world through partnerships that bring better medicines to patients faster, and we recognize our success starts with hiring people who share our passion for science. We are seeking a highly motivated and skilled Scientist to join our Protein Sciences team and contribute to both day-to-day operations and the advancement of Protein Science workflows. This position will focus on the design, optimization, and execution of transient transfection processes at various scales for antibody and protein production in mammalian expression systems. The successful candidate will leverage expertise in biophysical characterization and biochemical modification to evaluate key protein attributes. This position will report to the Associate Director of Protein Sciences and work closely with scientists in the Antibody Discovery, Antibody Engineering, Protein Sciences, and Project Management teams. The ideal candidate will drive innovation through process refinement, high-throughput automation, and growing proficiency of chemical conjugation techniques. This role offers the opportunity to work in a fast-paced, collaborative research environment, where creative solutions and a strong scientific approach are key to success. Responsibilities Responsibilities: Independently design, plan, and execute transient transfection workflows for antibody and protein production across various mammalian expression systems Develop, design, and optimize protein purification methods to enhance throughput, quality, and efficiency, as required Lead developability assessment studies by designing and conducting analytical experiments to evaluate protein stability, purity, and key biophysical characteristics Support production of complex construct design strategies (e.g VLPs, nanodiscs etc.), to enable immunization antibody discovery campaigns against challenging targets Drive implementation of automated high throughput processes to support protein production workflows using Bravo, and other robotic systems Maintain meticulous experimental records using electronic notebook (Benchling), and communicate results clearly through written reports and presentations to support project progression and scientific decision-making Contribute innovative ideas and collaborate effectively across teams to foster research excellence and ensure project success in a fast-paced environment Qualifications Qualifications: Ph.D. in Biochemistry, Chemistry, Molecular Biology, Protein Engineering, or a related field with a minimum of 2 years of industry experience or MS with minimum of 6 years of direct industry experience is required Proven hands-on experience with multiple mammalian expression platforms is required Proficiency with AKTA instrumentation, and a broad range of purification techniques, including affinity chromatography, ion exchange, HIC, and SEC, as well as standard protein QC methodologies is required Experience with therapeutic antibody developability assessment is highly desirable Strong analytical, troubleshooting, and communication skills with exceptional attention to detail Motivated self-starter with excellent organization, teamwork, and a passion for scientific innovation About AlivaMab Biologics AlivaMab Biologics sets its partners' antibody discovery programs on the fastest and most de-risked path through discovery and development. Trusted by top-tier pharmaceutical and biotechnology companies, AMB delivers drug-quality, fully human antibodies on exceptional timelines. AMB achieves its partners' design goals, from simple to extraordinarily challenging, through the generation and function-first screening of large, molecularly diverse panels of antibodies. AMB focuses on rapid and efficient delivery of antibodies, characterized for function, kinetics and developability, and engineering for alternative formats, including multi-specifics and CARs. The AMB team's experience and passion for antibody drug discovery and development combined with the use of trusted, proven technologies, including Ablexis' AlivaMab Mouse platforms, ensure the highest probability of success. The salary range for this position considers various factors, including skills, experience, training, certifications, and organizational needs. Note that this range does not reflect any geographic adjustments based on the location where the role will be based. At AlivaMab Biologics, it is uncommon for a new hire to start at or near the top of the salary range, as compensation is tailored to each individual's skills and breadth and depth of experience. The current estimated range is $98,500 - $140,000, plus a bonus target, benefits, and equity. AlivaMab Biologics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, gender identification, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. #LI-DNI

The Columbia Group (TCG), is a technical services support company which has a successful 50+ year history of providing the United States government with financial management support services, information technology, program management, acquisition, logistics management, engineering, and design. As a full-time employee of TCG, you will receive a comprehensive benefits package to include a quality health insurance program (medical, drug, vision and dental) for you and your family, group life insurance, group short and long-term disability insurance, a 401K profit sharing retirement plan, and professional development opportunities. You will accrue 'Paid Time Off' (PTO) to be used towards vacation or sick leave, in addition to receiving eleven (11) paid federal holidays. We are seeking Junior to Senior Level Data Scientists to join our team in locations such as: Washington, DC Metropolitan and San Diego, CA. Upon award, the ideal candidate will: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. They may also perform the following duties: Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Create dynamic data reports. Position RequirementsRequired Education Junior - Associate's Degree in Math, Science, Engineering or related field; The Government will accept minimum 5 years of professional experience related to the labor category in lieu of degree requirement. Mid - Bachelor's Degree in Math, Science, Engineering or related field; The Government will accept minimum 10 years of professional experience related to the labor category in lieu of degree requirement. Senior - Bachelor's Degree in Math, Science, Engineering or related field. Required Experience and Skill 1-10 years of related professional experience based on career level showing proficient, competent and developing & emerging skills while performing complex tasks independently and completes assigned tasks on time and to a standard that is satisfactory or better. Senior level positions will provide guidance and oversight to contractors at the junior and mid experience levels. Experience with MS Word, MS Excel, ERP, PBIS, NEPS, and EDW accounting systems. US Citizenship Required. Active DoD Secret Clearance Required. Preferred Education and Experience Level Junior - Bachelor's Degree in Math, Science, Engineering or related field. Mid - Master's Degree in Math, Science, Engineering or related field. Senior - Master's Degree in Math, Science, Engineering or related field. 4-12 years of related professional experience based on career level. Full-Time/Part-Time Contingent Position Data Scientist Division The Columbia Group Req Number LOG-25-00002 Location Multiple Locations - See Job Posting for Details About the Organization We are a premier federal services company with a successful history of providing the United States Military, Department of Homeland Security, Federal Aviation Administration, and other departments / agencies of the federal government. We employ hundreds of professionals, providing client-focused solutions, across all armed forces, in multiple locations throughout the United States. EOE Statement We are an Equal Opportunity / Affiantive Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected Veteran status. This position is currently accepting applications. #J-18808-Ljbffr

A leading defense technology firm in San Diego is searching for a Data Scientist to join their innovative team. This position requires a strong background in machine learning, experience with C/C++ and Python, and the ability to translate complex data into actionable insights. Candidates must possess an active US Government Top Secret security clearance and be committed to on-site work. This role offers a salary within the range of $87,100 - $157,450. #J-18808-Ljbffr

Join the Intuit Customer Success team as a Principal Data Scientist within our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You'll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions. This is a mission-critical role requiring a strategic thought partner who brings cutting‑edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross‑functional leaders-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform. This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision. Responsibilities Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models-including ensemble methods, time‑series forecasting, LTV modeling, deep learning architectures, and uplift modeling-to uncover high‑impact growth opportunities and drive personalization. Experimentation Science & Design: Own the end‑to‑end experimentation pipeline-from hypothesis generation and design (e.g., CUPED, multi‑armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification. Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact Attribution: Define and evolve success metrics using state‑of‑the‑art measurement frameworks, ensuring that business KPIs are both predictive and causally informative. Communication: Deliver compelling, data‑driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact. ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience. Thought Leadership & Mentorship: Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor. Strategic Influence: Demonstrate extreme ownership across cross‑functional initiatives, influencing product vision and delivering measurable impact through analytics innovation. Qualifications Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 10+ years of progressive experience in applied data science roles with increasing scope and complexity. Proven experience applying state‑of‑the‑art machine learning and causal inference methodologies in high‑impact, product‑facing applications. Expert‑level proficiency in SQL as well as Python or R. Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI‑assisted UX. Deep understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment. Deep knowledge of experimental design, including non‑standard A/B testing methods, uplift modeling, and sequential testing frameworks. Hands‑on experience with data visualization tools like Tableau or Qlik. Strong communication and storytelling abilities-adept at translating sophisticated analytics into strategic guidance. Proven leadership in mentoring technical talent and driving cross‑team alignment through data science innovation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California: $231,000-312,500 #J-18808-Ljbffr

A global healthcare leader in San Diego seeks a highly motivated scientist to contribute to the discovery and development of biotherapeutics. The role involves discovering and optimizing antibodies, utilizing flow cytometry, and requires strong skills in molecular biology and biochemistry. Ideal candidates should have significant industry experience and be detail-oriented, with excellent communication skills. Competitive compensation and benefits include a flexible benefits package and bonus potential. #J-18808-Ljbffr

Clinical Lab Scientist (Generalist OR CGMBS),1 year contract (Sun - Thurs 1st Shift) Looking for an exciting CLS role? One of San Diego's leading biotech companies is looking for a competent, reliable CLS to add to their dynamic team. This role offers the opportunity to build upon the foundation you've already laid in your industry experience and refine your clinical testing expertise with high complexity assays. Don't miss this rare opportunity to learn from top professionals, grow into a more senior role, and excel in a challenging and supportive environment. What you will do: Perform molecular genetic testing on clinical specimens using PCR and sequencing (NGS) Reviewing and reporting patient results. Performing quality control and quality assurance activities as needed. Comply with all applicable local, state and federal laboratory, quality, and safety requirements. Who you are: Requires valid California Department of Public Health Clinical Laboratory Scientist (CLS) generalist license OR Clinical Genetic Molecular Biology Scientist (CGMBS) license (no exceptions) 3+ years experience in high complexity clinical laboratory testing, preferably in molecular diagnostics Performance of molecular testing (PCR, Microarray, Sanger/NGS sequencing) a huge plus What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and geographic location. The expected range for this role is $36 to $50 per hour. Please note this range is an estimate and actual pay may vary based on qualifications and experience. Note: We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

Leidos tackles the most challenging national defense problems using advanced signal processing and data analytics. At our San Diego office, we have a dedicated and experienced team of scientists and engineers devoted to squeezing the last bit of information from every data set. We are currently seeking data scientists to join our leading‑edge research and engineering group. In this role, you will collaborate with multidisciplinary team members focused on Physics (Hydrodynamics, Acoustics, RF and EO/IR propagation, among other areas) and Machine Learning to design, implement, and deliver cutting‑edge machine signal processing solutions to complex problems of national importance. This position offers you the opportunity to grow and develop your skills in collaboration with our team. We hire people with curiosity and passion about science, technology, engineering, and math and who want to take that passion and turn it into reality. Primary Responsibilities Identify, prototype, and deploy appropriate (off‑the‑shelf, fine tuning, or custom) machine learning solutions utilizing state‑of‑the‑art methods and in‑depth data analysis. Implement advanced statistical concepts, algorithms and techniques to extract, consolidate, and analyze unstructured, classified “big data” sources to generate actionable insights. Collaborate with a team of other applied scientists, engineers, researchers & program managers to research and develop machine learning solutions to novel problems. Engage in continuous learning and development, staying current with the latest advances in AI/ML and data science to ensure fit‑for‑purpose and impactful approaches. Basic Qualifications Bachelor's degree with 4+ years of prior relevant experience or Master's degree with 2+ years of relevant experience. Strong understanding of machine learning theory, concepts, and algorithms Proficient in modern data exploration techniques and tools Experience developing and implementing machine learned solutions Familiarization with modern AI/ML algorithms and libraries Fluency in C/C++, Python Strong written and verbal communication skills Required on‑site full‑time work in San Diego, CA Currently holds an active US Government Top Secret security clearance Preferred Qualifications Experience performing research to develop data science solutions Experience implementing and applying advanced physical and mathematical concepts in software applications Experience with active or passive sensor data and relevant signal processing techniques Experience with Large Language Model (LLM) development and deployment Familiarization with Fortran or Matlab If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting December 11, 2025 Pay Range Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment‑related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment‑related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr