Research Scientist
Research associate job in Santa Rosa, CA
About the Company
We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks.
About the Role
As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises.
Responsibilities
Benchmarking & Model Analysis
Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.)
Run large-scale assessment workflows using internal evaluation infrastructure
Compare model performance across enterprise-grade task categories
Design New Benchmarks from Scratch
Identify high-value model application domains through research exploration
Construct datasets, including labeling strategy and workforce coordination
Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings
Advance Automated Evaluation Methodologies
Improve systems for scoring generated text beyond standard metrics
Explore research in reference-free, rubric-based, and human-aligned evaluation
Develop new techniques for reliability, consistency, and repeatability
Cross-functional Collaboration
Work closely with engineering to scale evaluation infra
Partner with customers to refine evaluation relevance and task fit
Influence product direction through research insights
Qualifications
0-3 years post-grad experience (Master's, PhD, or equivalent applied research)
Publications, preprints, or demos showing cutting-edge work
Experience with diffusion models, NLP, multimodal, or benchmarking work
Ability to operate independently with ambiguity
Clean, maintainable research codebases
Candidates from:
top engineering/research universities
applied AI startups
well-regarded research internships
Required Skills
Built or contributed to a benchmark or evaluation methodology
Experience in enterprise task model evaluation
Stanford / top lab adjacency (per their historical hiring success)
Preferred Skills
Wants to publish as primary motivation
Purely academic with slow timelines
Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case)
Pay range and compensation package
Base Salary: up to $250K depending on background
Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates
Rapid equity refresh possible based on impact
Equal Opportunity Statement
Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.).
Work Environment & Culture
In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing.
Tech Environment
(while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling.
Why This Role Is Unique
The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.
research scientist - RL
Research associate job in Santa Rosa, CA
Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning
Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation.
About the Role
As an AI Research Scientist focused on RL, you will:
Develop novel optimization-based methods for automated RL environment generation
Establish baselines for evaluating the quality and diversity of RL environments
Design infrastructure to create dynamic environments from historical datasets and agent evaluations
Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community
What We're Looking For
PhD (or equivalent experience) in machine learning, computer science or a related field
Strong publication record and/or evidence of research impact (open source, deployed systems, etc.)
Deep expertise in reinforcement learning and machine learning fundamentals
Proficient in Python and at least one modern ML framework (such as PyTorch or JAX)
Bonus Points
Experience with post-training large language models (LLMs)
Demonstrated software engineering skills
Ability to communicate research findings effectively to both technical and non-technical audiences
Founding Research Scientist (MARL)
Research associate job in San Francisco, CA
Series A company looking to hire a Sr. Applied RS with a good background in multi-agent reinforcement learning. The related challenge is figuring out how to use feedback from an objective function on (consumer) pricing to reinforce a multi-agent enterprise system (many components).
Qualifications:
Applied Research with MS or PhD in a technical field and 4
+
years relevant industry experience
Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production
Please note:
Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio.
About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: *********************
We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide).
Research Scientist
Research associate job in Santa Rosa, CA
We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis.
They have seen $300M in a recent fund raise.
Skills targeted:
PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field.
2+ YoE working with AI Agents.
Good exposure to LLMs.
TC package of $1-1,5M with sizeable base salary & equity package.
If that looks of interest, apply & Goliath will be in touch!
Research & Strategy Analyst, Life Sciences
Research associate job in Santa Rosa, CA
About the Role
Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence.
The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors.
Key Responsibilities
Research Operations & Market Data Management
Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets.
Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports.
Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making.
Client-Focused Research & Broker Support
Respond to requests for market intelligence to support broker teams and strategic pursuits.
Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations.
Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs.
Build scalable templates and tools that enhance service delivery across geographies.
Life Sciences Industry Intelligence
Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions.
Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines.
Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement.
Translate complex industry developments into relevant real estate implications for internal and external audiences.
CRM Strategy, Pipeline Tracking & Business Enablement
Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers.
Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status.
Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends.
Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies.
Qualifications
Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred.
2-6 years of experience in life sciences, research, management consulting, or corporate strategy.
Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths.
Exceptional analytical skills with the ability to distill complex data into strategic insights.
Strong written and verbal communication skills; experience writing reports or market commentary is a plus.
CRM platform experience (Salesforce) is preferred.
Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment.
Why Join Savills Life Sciences?
Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science.
As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond.
Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.
Research Scientist - Vision Data Infrastructure
Research associate job in San Francisco, CA
⚡ Research Scientists/Engineers (all levels)
🔍 Focus on Vision Data Infrastructure
🤖 Fundamental AI Research Institute
🌎 San Francisco Bay Area, USA
💸 $250,000 - $600,000 salary + annual bonus
Come join one of the only research institutions globally with resources to compete with top AI companies =>10s of 1000s of GPUs to explore state-of-the-art research in LLMs, Multimodal and Agentic AI.
Currently seeking AI talent with expertise in building scalable pipelines for vision data to support both image/video generative training and multi-modal alignment. You'll design high-performance pipelines for large-scale image and video datasets, enabling efficient pretraining, alignment, and simulation-based data generation.
Responsibilities:
Vision Data Sourcing & Curation
Collect and organize image and video data from open datasets and the web.
Handle data cleaning, filtering, deduplication, and metadata generation.
Ensure ethical and compliant data collection at scale.
Processing & Augmentation
Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching).
Implement GPU-accelerated augmentation and distributed data loading (WebDataset, TFRecords, Parquet).
Synthetic & Simulation-Based Data Generation
Use simulation tools (e.g., Unreal Engine 5, Isaac Sim, Unity) to generate high-quality synthetic vision data.
Create specialized datasets for VLM training, visual reasoning, and agent interaction.
Requirements:
Strong experience with data engineering, computer vision, or machine learning infrastructure.
Expertise in building and scaling ETL/data pipelines for large unstructured datasets.
Proficiency with Python, PyTorch, and distributed data frameworks (e.g., Ray, Spark, Dask).
Experience with WebDataset, TFRecords, Parquet, or similar high-throughput data formats.
Familiarity with GPU-accelerated preprocessing, NVIDIA DALI, or equivalent systems.
Understanding of image/video codecs, data compression, and cloud storage optimization.
Preferred Experience:
Prior work with simulation-based or synthetic data generation using Unreal Engine, Isaac Sim, or Unity.
Experience curating datasets for multimodal or vision-language model training.
Knowledge of data ethics, privacy, and compliance frameworks for large-scale AI datasets.
Experience contributing to open datasets or data-centric AI research.
Why apply:
Opportunity to join a fast-growing core team that are already pushing AI breakthroughs
Highly competitive salary package
Work alongside ambitious and bright superstars from tech and academia
Medical, Dental and Vision Insurance
Relocation package available
🌎 San Francisco Bay Area, USA
📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at
************************
High-Throughput Screening Research Associate II, III (Biodesigner II, III)
Research associate job in Santa Rosa, CA
Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply.
Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III)
Responsibilities:
Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts.
Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing.
Support cell culture activities and experiments in multiple cell lines, at small and large scales.
Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays).
Engineer and characterize cell-based systems using synthetic biology tools and techniques.
Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity.
Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches.
Prepare summaries of data and present internally to colleagues and management.
Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records.
Author scientific reports and data summaries.
Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization.
Qualifications:
Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field.
At least 2 years of industry wet lab experience.
Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells).
Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows)
Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment.
Strong written and verbal communication skills.
Preference will be given to those who display:
High throughput screening assay development in an industry setting.
High motivation, with a strong work ethic and dedication to generating impact.
Attention to detail, with the ability to extract deep insights from data.
First-principles thinking, and an ability to refine one's intuition based on additional data.
Ability to go from ideation to data in an independent fashion.
Long-term personal vision with defined career goals.
High EQ with team-oriented thinking.
Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays.
Experience with CRISPR-Cas systems and/or gene editing and delivery technologies.
Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms).
If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team.
Please apply directly through LinkedIn.
Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.
Research Assistant, In Vivo Tumor Models
Research associate job in Santa Rosa, CA
Kelly Science & Clinical is seeking an In Vivo Research Assistant for a contract opportunity with one of our clients, a synthetic biology and cell therapy biotechnology company in Menlo Park, CA. If you are driven by the prospect of translating cutting-edge scientific discoveries into tangible advancements and are poised to advance your career, join us as we pioneer progress in the biotechnology and medical device industries.
Workplace: Onsite in Menlo Park, CA
Position Title: Research Assistant, In Vivo Tumor Models
Position Type: contract
Pay rate: $30-40 per hour
Schedule: Part-time
Animal Technician - In Vivo Oncology (Mouse Models), Biotechnology Startup - San Francisco Bay Area, CA
Are you ready to drive transformative research at the frontier of cell therapy innovation? Join a pioneering biotechnology startup in Menlo Park, where your expertise with in vivo mouse models will be instrumental in shaping therapies with the potential to change the course of medicine. As an early team member, you'll collaborate closely with visionary scientists and engineering innovators, making a direct impact on the culture, direction, and scientific breakthroughs of our organization.
About the Opportunity:
We're searching for a dedicated Animal Technician with a robust background in managing and executing solid tumor studies using immunocompromised and humanized mouse models. Your hands-on skills and analytical insight will enable our platform to accelerate the design, screening, and optimization of novel cell therapies that harness the full therapeutic power of cellular engineering. You will be critical in supporting our rapid innovation cycles, where new tools and approaches are continuously tested and refined.
Mission & Environment:
Our team believes that cellular biology holds the blueprint for tackling the most challenging diseases-from cancer and viral infection to autoimmunity and aging. We apply cutting-edge synthetic biology and systems immunology to engineer next-generation cells capable of precisely and potently fighting disease. Our approach goes far beyond established paradigms, leveraging novel receptor technologies and high-throughput screens to uncover untapped avenues for therapy development.
Responsibilities
Lead day-to-day execution and management of oncology mouse model experiments.
Independently plan and coordinate study timelines in partnership with research scientists.
Serve as the main interface with vivarium partners to ensure seamless in vivo operations.
Maintain stringent protocol compliance according to all institutional and regulatory standards.
Collect, analyze, and interpret preclinical data to inform project decisions and accelerate development.
Proactive communication and collaboration to move projects forward in a fast-paced, multidisciplinary environment.
Qualifications
Minimum 3 years of hands-on in vivo research experience, ideally in cancer or related therapeutic areas within industry settings.
No formal education requirement; demonstrable expertise is key.
Flexibility to support weekend research schedules.
Exceptional process discipline and attention to detail.
Proven ability to troubleshoot challenges and implement solutions rapidly.
Strong organizational and communication skills, with reliability in managing and executing assigned responsibilities.
Collaborative spirit and a track record of contributing to impactful scientific endeavors.
Ideal Fit:
Takes pride in reliability and personal accountability.
Seeks flexibility in work hours and the possibility of full-time engagement.
Thrives in a close-knit, high-impact team with diverse skillsets.
Eager to take on new responsibilities and champion team success.
Shares a passion for advancing health through cell engineering and community-driven science.
Join us and help unlock the next era of engineered cell therapies-where your work directly contributes to solutions for today's most urgent medical challenges.
Equity Research Associate - Biotechnology
Research associate job in San Francisco, CA
Top investment bank seeking an equity research associate to support a rising senior biotechnology analyst covering mid- and small-cap biotech companies.
Responsibilities will include:
Candidate should understand that the team is highly motivated to become top-ranked in the biotech industry
Conducting proprietary research and evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and consulting industry experts
Writing research reports for initiations of coverage, deep dive data analyses, competitive landscaping, and industry/ company news
Delving into intellectual property and following patent litigation concerning pharmaceuticals
Building and maintaining financial models and powerpoint decks
Conceiving and executing on differentiated project ideas
Interfacing with company management teams, internal sales and trading personnel, and institutional investors
Key Qualifications:
1-2+ years of experience in healthcare investment research required (sell side, buy side, investment banking, etc). Must be fully licensed.
Science background required; MD or PhD preferred
Motivated to rise in the sell-side industry in the long-term
Hard-working, attention to detail, team player
Sharp analytical skills in dissecting preclinical and clinical data
Deep understanding of, or experience with, drug development and the FDA-approval process for pharmacologic treatments is desirable
High proficiency in written/verbal communication
Can type >120 words per minute
Has experience writing quality sell side reports, producing powerpoints, and creating detailed financial models (e.g. functioning three-statement models, DCFs, market models, etc)
Experience building financial models using excel is a plus
Primary Location Full Time Salary Range of $100,000 - $120,000.
Auto-Apply(CW) Research Associate
Research associate job in San Rafael, CA
Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.
Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.
About Worldwide Research and Development
From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases.
Contract role in This role is onsite five days a week in San Rafael, CA***
The Research & Early Development (RED) group is responsible for everything from research and discovery to post-market clinical development. RED involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with rare diseases.
Summary Description:
Gain industry experience and learn various skills to become a well-rounded scientist capable of advancing drug development. The individual will assist senior staff in planning, performing, and documenting laboratory experiments.
Primary responsibilities may include general lab duties, buffer preparation, animal tissue processing, analytical pathology techniques including tissue sectioning (microtomy and cryotomy), histologic staining (e.g. H&E & Masson's trichrome), immunohistochemistry, In Situ Hybridization, and brightfield and epifluorescence microscopy. Other responsibilities include qualitative and basic, quantitative image analysis (Visiopharm), and preparation of image data for power points and reports.
The ideal candidate will be responsible for performing, and/or supporting the development and optimization of experimental systems. This role conducts lab-based experimentation based on literature protocols, standard operating procedures (SOPs), consulted innovative approaches, and conducts general laboratory maintenance responsibilities. This role performs data analysis with appropriate documentation of all methods used and proper handling of raw data.
Experience & Education per level:
Research Associate 1:
Bachelor's degree and at least 1-2 years of relevant experience
Work Environment/Physical Demands:
The employee may frequently be required to sit and talk or hear. The employee is occasionally required to stand; walk; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, crawl, and smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities by this job include close vision, depth perception and ability to adjust focus. Wet lab environment. Some toxic chemical use. Occasional foul odors. Candidate must not have any known chemical allergies.
Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Auto-Applyresearch scientist - RL
Research associate job in San Francisco, CA
Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning
Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation.
About the Role
As an AI Research Scientist focused on RL, you will:
Develop novel optimization-based methods for automated RL environment generation
Establish baselines for evaluating the quality and diversity of RL environments
Design infrastructure to create dynamic environments from historical datasets and agent evaluations
Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community
What We're Looking For
PhD (or equivalent experience) in machine learning, computer science or a related field
Strong publication record and/or evidence of research impact (open source, deployed systems, etc.)
Deep expertise in reinforcement learning and machine learning fundamentals
Proficient in Python and at least one modern ML framework (such as PyTorch or JAX)
Bonus Points
Experience with post-training large language models (LLMs)
Demonstrated software engineering skills
Ability to communicate research findings effectively to both technical and non-technical audiences
Research Scientist
Research associate job in San Francisco, CA
About the Company
We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks.
About the Role
As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises.
Responsibilities
Benchmarking & Model Analysis
Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.)
Run large-scale assessment workflows using internal evaluation infrastructure
Compare model performance across enterprise-grade task categories
Design New Benchmarks from Scratch
Identify high-value model application domains through research exploration
Construct datasets, including labeling strategy and workforce coordination
Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings
Advance Automated Evaluation Methodologies
Improve systems for scoring generated text beyond standard metrics
Explore research in reference-free, rubric-based, and human-aligned evaluation
Develop new techniques for reliability, consistency, and repeatability
Cross-functional Collaboration
Work closely with engineering to scale evaluation infra
Partner with customers to refine evaluation relevance and task fit
Influence product direction through research insights
Qualifications
0-3 years post-grad experience (Master's, PhD, or equivalent applied research)
Publications, preprints, or demos showing cutting-edge work
Experience with diffusion models, NLP, multimodal, or benchmarking work
Ability to operate independently with ambiguity
Clean, maintainable research codebases
Candidates from:
top engineering/research universities
applied AI startups
well-regarded research internships
Required Skills
Built or contributed to a benchmark or evaluation methodology
Experience in enterprise task model evaluation
Stanford / top lab adjacency (per their historical hiring success)
Preferred Skills
Wants to publish as primary motivation
Purely academic with slow timelines
Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case)
Pay range and compensation package
Base Salary: up to $250K depending on background
Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates
Rapid equity refresh possible based on impact
Equal Opportunity Statement
Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.).
Work Environment & Culture
In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing.
Tech Environment
(while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling.
Why This Role Is Unique
The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.
Founding Applied Research Scientist (RL)
Research associate job in San Francisco, CA
Early-stage (vertical RL) company looking to hire a Sr. Applied RS with a strong background in reinforcement learning.
Qualifications:
Applied Research with MS or PhD in a related field and 4
+
years industry experience in deep learning and 2+ years with reinforcement learning
Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production
Please note:
Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio.
About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: *********************
We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide).
Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.
Research Scientist
Research associate job in San Francisco, CA
We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis.
They have seen $300M in a recent fund raise.
Skills targeted:
PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field.
2+ YoE working with AI Agents.
Good exposure to LLMs.
TC package of $1-1,5M with sizeable base salary & equity package.
If that looks of interest, apply & Goliath will be in touch!
High-Throughput Screening Research Associate II, III (Biodesigner II, III)
Research associate job in San Francisco, CA
Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply.
Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III)
Responsibilities:
Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts.
Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing.
Support cell culture activities and experiments in multiple cell lines, at small and large scales.
Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays).
Engineer and characterize cell-based systems using synthetic biology tools and techniques.
Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity.
Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches.
Prepare summaries of data and present internally to colleagues and management.
Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records.
Author scientific reports and data summaries.
Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization.
Qualifications:
Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field.
At least 2 years of industry wet lab experience.
Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells).
Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows)
Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment.
Strong written and verbal communication skills.
Preference will be given to those who display:
High throughput screening assay development in an industry setting.
High motivation, with a strong work ethic and dedication to generating impact.
Attention to detail, with the ability to extract deep insights from data.
First-principles thinking, and an ability to refine one's intuition based on additional data.
Ability to go from ideation to data in an independent fashion.
Long-term personal vision with defined career goals.
High EQ with team-oriented thinking.
Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays.
Experience with CRISPR-Cas systems and/or gene editing and delivery technologies.
Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms).
If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team.
Please apply directly through LinkedIn.
Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.
Research & Strategy Analyst, Life Sciences
Research associate job in San Francisco, CA
About the Role
Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence.
The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors.
Key Responsibilities
Research Operations & Market Data Management
Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets.
Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports.
Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making.
Client-Focused Research & Broker Support
Respond to requests for market intelligence to support broker teams and strategic pursuits.
Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations.
Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs.
Build scalable templates and tools that enhance service delivery across geographies.
Life Sciences Industry Intelligence
Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions.
Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines.
Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement.
Translate complex industry developments into relevant real estate implications for internal and external audiences.
CRM Strategy, Pipeline Tracking & Business Enablement
Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers.
Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status.
Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends.
Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies.
Qualifications
Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred.
2-6 years of experience in life sciences, research, management consulting, or corporate strategy.
Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths.
Exceptional analytical skills with the ability to distill complex data into strategic insights.
Strong written and verbal communication skills; experience writing reports or market commentary is a plus.
CRM platform experience (Salesforce) is preferred.
Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment.
Why Join Savills Life Sciences?
Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science.
As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond.
Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.
Research Assistant, In Vivo Tumor Models
Research associate job in San Francisco, CA
Kelly Science & Clinical is seeking an In Vivo Research Assistant for a contract opportunity with one of our clients, a synthetic biology and cell therapy biotechnology company in Menlo Park, CA. If you are driven by the prospect of translating cutting-edge scientific discoveries into tangible advancements and are poised to advance your career, join us as we pioneer progress in the biotechnology and medical device industries.
Workplace: Onsite in Menlo Park, CA
Position Title: Research Assistant, In Vivo Tumor Models
Position Type: contract
Pay rate: $30-40 per hour
Schedule: Part-time
Animal Technician - In Vivo Oncology (Mouse Models), Biotechnology Startup - San Francisco Bay Area, CA
Are you ready to drive transformative research at the frontier of cell therapy innovation? Join a pioneering biotechnology startup in Menlo Park, where your expertise with in vivo mouse models will be instrumental in shaping therapies with the potential to change the course of medicine. As an early team member, you'll collaborate closely with visionary scientists and engineering innovators, making a direct impact on the culture, direction, and scientific breakthroughs of our organization.
About the Opportunity:
We're searching for a dedicated Animal Technician with a robust background in managing and executing solid tumor studies using immunocompromised and humanized mouse models. Your hands-on skills and analytical insight will enable our platform to accelerate the design, screening, and optimization of novel cell therapies that harness the full therapeutic power of cellular engineering. You will be critical in supporting our rapid innovation cycles, where new tools and approaches are continuously tested and refined.
Mission & Environment:
Our team believes that cellular biology holds the blueprint for tackling the most challenging diseases-from cancer and viral infection to autoimmunity and aging. We apply cutting-edge synthetic biology and systems immunology to engineer next-generation cells capable of precisely and potently fighting disease. Our approach goes far beyond established paradigms, leveraging novel receptor technologies and high-throughput screens to uncover untapped avenues for therapy development.
Responsibilities
Lead day-to-day execution and management of oncology mouse model experiments.
Independently plan and coordinate study timelines in partnership with research scientists.
Serve as the main interface with vivarium partners to ensure seamless in vivo operations.
Maintain stringent protocol compliance according to all institutional and regulatory standards.
Collect, analyze, and interpret preclinical data to inform project decisions and accelerate development.
Proactive communication and collaboration to move projects forward in a fast-paced, multidisciplinary environment.
Qualifications
Minimum 3 years of hands-on in vivo research experience, ideally in cancer or related therapeutic areas within industry settings.
No formal education requirement; demonstrable expertise is key.
Flexibility to support weekend research schedules.
Exceptional process discipline and attention to detail.
Proven ability to troubleshoot challenges and implement solutions rapidly.
Strong organizational and communication skills, with reliability in managing and executing assigned responsibilities.
Collaborative spirit and a track record of contributing to impactful scientific endeavors.
Ideal Fit:
Takes pride in reliability and personal accountability.
Seeks flexibility in work hours and the possibility of full-time engagement.
Thrives in a close-knit, high-impact team with diverse skillsets.
Eager to take on new responsibilities and champion team success.
Shares a passion for advancing health through cell engineering and community-driven science.
Join us and help unlock the next era of engineered cell therapies-where your work directly contributes to solutions for today's most urgent medical challenges.
Research Associate 1, In Vivo for Skeletal and CNP Therapeutic Area
Research associate job in Petaluma, CA
Who We Are
For more than two decades, going our own way has led to countless breakthroughs, bettering the lives of those suffering from rare genetic disease. In 1997 we were founded to make a big difference in small patient populations. Now we seek to make an even greater impact by applying the same science-driven, patient-forward approach that propelled our last 25 years of drug development to larger genetic disorders, as well as genetic subsets of more common conditions. Through our unparalleled expertise in genetics, drug discovery and development, we will continue to develop targeted therapies that address the root cause of the conditions we seek to treat. Applying our knowledge to make a transformative impact is not just a calling, but an obligation to those who will benefit most. The end goal has always been better lives and now we can reach more people in need.
Our Culture
Our desire to make a positive impact on our patients extends to our employees and BioMarin is committed to fostering an inclusive environment where every person feels seen, valued, and heard - so employees can thrive in all areas of their lives, in and outside of work. We seek to provide an open, flexible, and friendly work environment to empower people and to provide them with the ability to develop their long-term careers. Ultimately, we want to be an organization where people enjoy coming to work and take pride in our efforts to help patients.
BioMarin's Research & Development group is responsible for everything from research and discovery to post-market clinical development. Research & Development involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class or best-in-class therapeutics that provide meaningful advances to patients. Come join our team and make a meaningful impact on patients' lives.
Position Overview:
We are seeking a motivated Research Associate I with in vivo experience to join the Skeletal and CNP Therapeutic Area group in vivo team to design and execute key studies to transform the lives of people with rare musculoskeletal diseases.
The primary role of the Research Associate I will be assisting with the execution of in vivo studies as part of the in vivo team. They will work collaboratively across Research group in the Skeletal and CNP Therapeutic Area group as well as other therapeutic areas as needed to execute project strategies for in vivo testing of novel therapeutics.
The successful candidate will have a background in animal handling, in vivo techniques and demonstrated experience in the use of animal model systems in research. Experience with rodent in vivo models of disease and a collaborative mindset is highly preferred. Experience with skeletal disease biology is desirable. While some industry experience is a plus, it is not required.
The successful candidate will contribute to in vivo model evaluation and project teams that support the project goals. Strong written communication skills are critical for IACUC protocols, communicating study results, monitoring in vivo studies and tissue collection, and sample management. The successful candidate will have experience with multiple methods of dosing techniques (IM, IP, IV, SC, PO), Necropsy, tissue collection and preferred experience with other in vivo analytic techniques including gait analysis, mechanical evaluation of bone, histology, computerized tomography and IVIS imaging.
The ideal candidate will have a Bachelor's or equivalent scientific degree in Biology or related science. The ideal candidate will have hands-on experience with dosing and data collection in animal models of disease, a proven track record of high-quality science, proficiency with in vivo methods such as administration of test articles, perfusion and tissue collection, blood collection, with rodent surgical experience preferred.
Responsibilities:
Support Research Program
• Conduct in vivo dosing support and execution of studies including IV, IM, SC, IP, and PO dosing for research on genetic skeletal diseases and CNP therapeutic indications
• Contribute to novel therapeutic programs based on innovative, ground-breaking discoveries that could lead to new, high-impact opportunities for patients
• Participate and collaborate in writing, review and contribution to study synopses, protocols, study reports and regulatory documents
• Collaborate with various BioMarin functions to collaboratively ensure timely progression of projects
• Excellent written and verbal communication
• Ability to build and foster productive cross-functional collaborations both within and external to BioMarin
• Execute hands-on responsibilities including but not limited to animal handling and restraint (rodents), administration via various routes of administration, including intravenous (tail-vein), in-life animal health monitoring and measurements, clinical observations, sample collection and processing, and accurate data collection. In addition, providing daily care and monitoring of mice or rats, including health checks and documentation, will also be required.
• Follow all institutional, local, and federal regulations regarding animal care and use. Adhere to safety protocols and maintain a clean and organized work environment. Maintain detailed and accurate records of all procedures and animal health status including adverse study events. Meticulous electronic lab notebook documentation.
• Communicate experimental plans and results to the project team. Support product development and regulatory filings for pivotal preclinical studies.
• Follow instructions and work independently to effectively manage time and prioritize tasks to ensure all assignments are completed on or before deadlines.
• Share your knowledge and understanding with other team members
• Document experimental methods and outcomes using Electronic Lab Notebooks and generation/maintenance of technical procedure documents and SOPs.
• Willingness to work on site full time including off hours and weekends based on study needs.
General requirements for the position:
• Strong analytical, problem-solving, and decision-making skills
• Understanding of genetically engineered models, breeding of rodents
• Excellent oral and written communication skills
• Passion for contributing your scientific skills to develop therapies for patients in need
• Must be able to utilize computer databases for data analysis, data entry, and point of care observations
• Must be able to work under time constraints with minimal direction of day-to-day responsibilities, including collaboratively working with multidisciplinary teams
• Must be able to work with external regulatory agencies and accreditation groups
• Some "off-core business hours" work required
• Complete all company training requirements
• Perform all work per designated safety standards and comply with Personal Protective Equipment requirements and occupational health to perform work tasks
• This position is an on-site critical required position
Education and Experience Requirements:
• Bachelor's degree in a related subject area or equivalent amount of previous related experience in in vivo study execution
* Hands-on experience with animal handling preferred if inclusive of rodent in vivo work.
* RA 1 will typically have a minimum of 2 years relevant experience
This position is full-time on-site and based in Petaluma, CA with occasional work on site in San Rafael, CA
Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Auto-ApplyMachine Learning Researcher
Research associate job in San Francisco, CA
SUPERCOMPUTING AI LAB W/ MULTIMODAL GENERAL AGENT AI STARTUP - SERIES A $1.2B VALUATION
Goliath Partners has exclusively teamed up with an early stage startup AI Lab in SF currently valued at over $1B just after announcing their Series A. The firm has fundamental research bets on next-gen model architectures for long term memory and continual learning. Have lots of GPUs and are planning to get to frontier soon on the model side.
Funding wise, their Series A was led by none other than Jann Tallinn. Jann has only led two other Series A's in the past - DeepMind and Anthropic! The team includes ex-DeepMind, Nvidia, Anthropic and Twitter professionals, and they are operating at the cutting edge of the AI space.
They're hiring an ML Research Engineer to:
Design and implement autonomous agents that can code, reason, and self-verify across real software environments
Build full-stack infrastructure for prompt routing, task planning, retrieval, and sandboxed execution
Apply post-training techniques (SFT, DPO, RLHF) and build eval benchmarks for multi-step reasoning and coding tasks
Total Comp: $300-325k from a base perspective. Equity will also be involved at anywhere from .1% - 1% (equaling $1-10M in equity).
If this sounds interesting, I'd love to share more. Please apply with an updated copy of your resume and Goliath will get in touch!
Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development
Research associate job in Santa Rosa, CA
Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply.
Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development
Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports.
Key Responsibilities:
Method Development, Qualification, and Validation:
Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines.
Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy.
Sample Analysis:
Support drug absorption, distribution, metabolism, and excretion studies.
Perform analysis of AAVs, cells, and tissues to support various stages of research and development.
Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks.
Documentation Reporting:
Draft and review key documents such as SOPs, method development, and sample analysis reports.
Maintain accurate and detailed records of all experiments and analyses.
Collaboration & Communication
Collaborate with manufacturing and preclinical teams to support pipeline needs.
Communicate and present findings clearly to internal stakeholders.
Qualifications:
B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field.
3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry.
Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, dd PCR, and ELISA.
Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL.
Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.).
Background in RNA-based therapies is highly desirable.
Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.)
Knowledge of FDA and ICH guidelines for method development, qualification, and validation.
Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams.
Ability to work effectively in a collaborative, fast-paced environment.
Preference will be given to those who display:
High motivation, with a strong work ethic and dedication to generating impact.
Attention to detail, with the ability to extract deep insights from data.
Ability to go from ideation to data in an independent fashion.
Long-term personal vision with defined career goals.
Team-oriented thinking.
Demonstrated excellence in small team environments, including a “no task is too small” attitude.
If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team.
Please apply directly through LinkedIn.
Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.