computational scientist 3 - cell & tissue genomics

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computational scientist 3 - cell & tissue genomics Jobs in San Francisco

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data engineer, analytics

data scientist

computational scientist 3 cell tissue genomics

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

Flex Capital

<div>
 
 
 San Francisco based Executive Assistant
 
 
 
 
 
 
 
 Hiring a Full-Time Executive Assistant at Flex Capital
 
 
 
 
 Based in our San Francisco office, working from the office 3 days a week
 
 
 
 
 Salary range: $115k to $130k depending on experience, plus comprehensive benefits
 
 
 
 
 
 
 
 We&rsquo;re looking for an exceptional Executive Assistant to support our San Francisco based CEO/General Partner and wider team at Flex Capital &mdash; a $200M seed-stage venture firm backing the most ambitious founders in tech.
 
 
 
 
 
 
 
 This isn&rsquo;t a typical EA or operations role. You&rsquo;ll be the operational engine behind a fast-paced venture team &mdash; someone who thrives on making others more effective and keeping the wheels turning across everything from investor meetings to founder events.&nbsp;
 
 
 
 
 If you&rsquo;re deeply organized, love juggling moving parts, and want front-row access to how early-stage investing actually works, this might be perfect for you.
 
 
 
 
 
 
 
 You&rsquo;ll own:
 
 
 <ul>
 <li>
 
 Managing complex calendars and scheduling across multiple time zones for the SF based GP and a remote investment team
 
 </li>
 <li>
 
 Prioritizing urgent tasks, helping triage inbound requests, and keeping the GP focused on what matters
 
 </li>
 <li>
 
 Preparing the GP for key meetings &mdash; founders, LPs, portfolio companies &mdash; and handling follow-ups
 
 </li>
 <li>
 
 Coordinating travel logistics and last minute changes to calendar (often with very little notice)
 
 </li>
 <li>
 
 Running events and dinners for founders and operators
 
 </li>
 <li>
 
 Acting as the gatekeeper and first line of communication
 
 </li>
 <li>
 
 Ensuring nothing falls through the cracks across investing, ops, and personal logistics
 
 </li>
 <li>
 
 Making sure the GP does not spend time on things that don&rsquo;t make sense
 
 </li>
 <li>
 
 Supporting our remote investment team members, helping to bridge the gap between our SF HQ and our remote team
 
 </li>
 <li>
 
 Helping the investment team schedule meetings with founders, including finding availability on GP schedules&nbsp;
 
 </li>
 <li>
 
 Supporting our VP of Finance &amp; Ops across finance, legal and operations &ndash; assisting with the &ldquo;back office&rdquo; engine that helps make a VC fund compliant and successful
 
 </li>
 <li>
 
 Managing website updates and improvements
 
 </li>
 <li>
 
 Helping maintain our CRM system by recording meetings, running reports, etc.
 
 </li>
 <li>
 
 Making the office in SF an amazing place to work from
 
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll get:
 
 
 <ul>
 <li>
 
 True visibility into how VC works behind the scenes
 
 </li>
 <li>
 
 Mentorship from founders-turned-investors
 
 </li>
 <li>
 
 Access to a deep network of startup founders, operators, and investors
 
 </li>
 <li>
 
 The opportunity to grow into an operations, platform, or chief of staff role over time
 
 </li>
 <li>
 
 A fast-paced, high-performance environment where A-players thrive
 
 </li>
 </ul>
 
 
 
 
 
 You are:
 
 
 <ul>
 <li>
 
 A low-ego collaborator who takes pride in being the operational &ldquo;connective tissue&rdquo; for the entire team, whether executing a GP&rsquo;s priority or supporting a remote colleague's request
 
 </li>
 <li>
 
 Obsessed with staying organized and two steps ahead
 
 </li>
 <li>
 
 Energized by fast-moving, high-stakes environments
 
 </li>
 <li>
 
 Excellent at anticipating needs before they&rsquo;re voiced
 
 </li>
 <li>
 
 Willing to work late when things heat up (especially during busy fundraising or event weeks)
 
 </li>
 <li>
 
 Hungry to grow and take on more responsibility over time
 
 </li>
 <li>
 
 Excited to be working in a small team, but comfortable working on your own and getting stuff done
 
 </li>
 <li>
 
 A user of AI tools!&nbsp;
 
 </li>
 </ul>
 
 
 
 
 
 This is not for you if:
 
 
 <ul>
 <li>
 
 You prefer predictability and a 9-to-5
 
 </li>
 <li>
 
 You need a strictly "one-to-one" reporting relationship: While you report to the GP, your success is defined by how well you support the entire team and the fund&rsquo;s overall operations
 
 </li>
 <li>
 
 You don&rsquo;t like working on both professional and personal tasks
 
 </li>
 <li>
 
 You&rsquo;re uncomfortable being in a support role with high expectations
 
 </li>
 </ul>
 
 
 
</div>

Executive Assistant

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 
 
 The Pricing team is a centerpiece of Lyft&rsquo;s marketplace. The Pricing team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Rider Engagement is a fast-growing team within Pricing, focused on developing rider-facing engagement levers and optimizing allocations and decisioning systems to drive both short term and long term business outcomes.
 
 
 As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and scale our rider engagement products and systems, and drive business growth. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
 </li>
 <li>
 Prioritize and lead deep dives into our data to uncover new product and business opportunities
 </li>
 <li>
 Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production
 </li>
 <li>
 Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
 </li>
 <li>
 Establish metrics that measure the health of our products, as well as rider and driver experience
 </li>
 <li>
 Drive collaboration and coordination with cross-functional teams
 </li>
 <li>
 Provide coaching and technical guidance for other teammates
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
 </li>
 <li>
 2+ years professional experience in a technology company setting
 </li>
 <li>
 Proven experience with building and evaluating machine learning models
 </li>
 <li>
 Proficiency with Python and working in a production coding environment
 </li>
 <li>
 Passion for solving unstructured and non-standard mathematical problems
 </li>
 <li>
 End-to-end experience with data, including querying, aggregation, analysis, and visualization
 </li>
 <li>
 Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 Great medical, dental, and vision insurance options with additional programs available when enrolled
 </li>
 <li>
 Mental health benefits
 </li>
 <li>
 Family building benefits
 </li>
 <li>
 Child care and pet benefits
 </li>
 <li>
 401(k) plan with company match to help save for your future
 </li>
 <li>
 In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
 </li>
 <li>
 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
 </li>
 <li>
 Subsidized commuter benefits
 </li>
 <li>
 Monthly Lyft credits and complimentary Lyft Pink membership
 
 
 </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 
 
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 
 
 The expected base pay range for this position in the San Francisco area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>

Data Scientist - Machine Learning, Pricing & Rider Engagement

Trailing Tails LLC

Trailing Tails is hiring!! We are looking for someone to start off-leash group dog walks in San Francisco&rsquo;s Richmond district. This is not contractor work; a vehicle, fuel, all supplies and training will be provided.M-Th, 9a-4:30p$25/hr. StartingDaily responsibilities:Manage an off-leash group walk with up to 8 dogs, twice daily, pick up and drop off dogs from their houses, take creative photos and videos during the walk.Qualifications:<ul><li>At least 1 year of professional dog care</li><li>C.A. driver&rsquo;s license</li><li>Lift 50 lbs. (not often)</li><li>Professional references</li></ul>Ideal extra knowledge:<ul><li>Familiarity with the neighborhoods we service</li><li>Photography</li><li>In city driving / delivery driving</li><li>Biology / medical</li></ul>Perks:<ul><li>Autonomy</li><li>Exercise</li><li>Fresh ocean air</li><li>Tips, holiday bonus</li><li>Kick it with dog pals</li></ul>Job Type: Full-timePay: From $25.00 per hourBenefits:<ul><li>Cell phone reimbursement</li><li>On-the-job training</li><li>Paid time off</li><li>Paid training</li></ul>Work Location: In person

Dog Walker

Triumph

<div>
 
 The Role
 
 
 
 As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.
 
 
 You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Monetization &amp; Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.
 </li>
 <li>
 User Journey &amp; Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them.
 </li>
 <li>
 Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.
 </li>
 <li>
 Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.
 </li>
 <li>
 Growth &amp; Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.
 </li>
 <li>
 Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.
 </li>
 <li>
 True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline.
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Experience working with large-scale user or behavioral datasets.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.
 </li>
 <li>
 Prior experience as a quantitative trader or quantitative researcher.
 </li>
 <li>
 Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.
 </li>
 <li>
 Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.
 
 
 </li>
 </ul>
 
 Why Triumph?
 
 
 
 <ul>
 <li>
 High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.
 </li>
 <li>
 High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.
 </li>
 <li>
 High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
 </li>
 <li>
 Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.
 
 
 </li>
 </ul>
 Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.
 
 
 Compensation Range: $200K - $400K
 
 
</div>

Data Scientist

Pylon

<div>About Pylon
America&rsquo;s $13T mortgage market is one of the most important financial systems in the world. It underwrites the middle class and is the mechanism through which millions of families build wealth. But while every other financial instrument has been simplified to an API call, mortgages are still assembled by hand.
We started from zero and created the first vertically integrated mortgage platform that turns origination into a single API.
Publicly traded companies and the country&rsquo;s largest originators are already building on Pylon. Revenue is compounding monthly. We&rsquo;re backed by Peter Thiel, Conversion Capital, QED, Citi, Fifth Wall, and the founders of Ramp, Blend, and Mercury.
Working at Pylon isn&rsquo;t for those seeking comfort. The people who thrive here have high agency, strong opinions, and a track record of delivering outcomes without direction. Many of us are former founders. We move quickly, challenge each other directly, and take full ownership of results. It&rsquo;s hard work, but it will be worth it.
Join us in building America&rsquo;s mortgage rails.<h2 class="jobSectionHeader">
The Team</h2>
We're looking for Back End Engineers to join our Integrations team. This team connects Pylon to the outside world &mdash; the partners, services, and data sources that make a seamless mortgage experience possible.
We have a critical, multi-month project ahead: building out a ton of integrations. Credit bureaus, title companies, insurance providers, document services &mdash; mortgage touches everything, and we need to plug into all of it. This is a rare opportunity to work across the entire mortgage domain and understand how all the pieces fit together, fast.<h2 class="jobSectionHeader">
Here Is What You'll Do</h2><ul><li>
Build integrations across the mortgage ecosystem. You'll connect Pylon to external partners &mdash; each with their own APIs, data formats, quirks, and reliability characteristics. No two are the same.</li><li>
Work on everything. This role touches every part of the mortgage process. You'll gain a comprehensive understanding of how mortgage works &mdash; not in theory, but by building the connective tissue that makes it function.</li><li>
Own solutions from development to deploy to maintenance. You build it, you ship it, you keep it running. Integrations are only as good as their uptime, and that's your responsibility.</li><li>
Be self-directed and versatile. The integrations surface is wide. You'll need to context-switch between partners, prioritize what matters, and drive projects forward without waiting for someone to hand you the next task.</li><li>
Move fast on a high-impact project. This isn't a &quot;someday&quot; initiative. We're building these integrations now, and each one we ship unlocks new capabilities for our customers.</li></ul><h2 class="jobSectionHeader">
Tech Stack</h2><ul><li>
TypeScript</li><li>
NestJS + GraphQL</li><li>
SQL (PostgreSQL)</li><li>
Temporal.io (workflow orchestration)</li><li>
External partner APIs (REST, SOAP, file-based &mdash; the full spectrum)</li><li>
AI-driven development tooling and agentic infrastructure</li></ul><h2 class="jobSectionHeader">
Who Will Succeed Here</h2>
Someone who:<ul><li>
Is deeply curious</li><li>
Wants to won features from design to development to deployment to maintence</li><li>
Is willing to put the work in to solve the hardest of problems</li></ul>
Location: Palo Alto , CA Base Salary Range: $140,000/yr to $220,000/yr + Equity + Benefits
Compensation Range: $140K - $220K</div>

Backend Engineer, Integrations

Pmt Corporation

<div>Find Fulfillment in Work Every Day! We Offer Careers that Make a Difference.

PMT Corporation, located in Chanhassen, Minnesota, is known for manufacturing and distributing high end, innovative products within the Orthopedic, Neurosurgery, and Plastic Surgery markets. Our workplace is a community of innovators who are passionate about creating an impact. We recognize that the collective power of our team is what propels us forward. Together, we celebrate successes, learn from challenges, and continuously evolve in our pursuit of excellence.

Join us at PMT Corporation if you're ready to be a part of a collaborative, idea-driven, and communicative environment. Your innovation matters, and together, we can continue to shape the future of the medical device industry.

TERRITORY SALES MANAGER &ndash; NEUROSURGERY &amp; ORTHOPEDIC SPINE DIVISION:

Are you an ambitious, self-motivated individual looking for a stable and established company with innovative products designed to improve lives? This is a unique opportunity for you to join our team and unlock your potential! We seek an entry- level (2-3 years&rsquo; experience) Territory Sales Manager to represent our Neurosurgery suite of medical devices, surgical instrumentation and accessories. The Territory Sales Manager within our Neurosurgery &amp; Orthopedic Spine Division will be responsible for managing and maintaining current accounts, build upon existing accounts while also developing new business in their assigned territory. 40% travel within the territory, including overnight, is required.

WHY PMT CORPORATION:
<ul>
<li>Performance based compensation package that includes a base salary plus monthly-uncapped commission
</li><li>Quarterly and annual bonus opportunities
</li><li>Comprehensive training (classroom and in-the-field) with our top managers
</li><li>Opportunities for advancement
</li><li>Medical, Dental and Life coverage
</li><li>401(k) plan
</li><li>Monthly car allowance plus 100% gasoline reimbursement
</li><li>Cell phone reimbursement
</li><li>Meal and hotel allowance
</li><li>Protected territory
</li><li>W-2 Employee status</li>
</ul>
JOB REQUIREMENTS OF THE TERRITORY SALES MANAGER:
<ul>
<li>Develop and establish strong relationships with key customers, surgeons, and hospital staff
</li><li>Prospect new business in assigned geographic territory and travel to designated open territories
</li><li>Act as a product support consultant to surgeons and operating room staff during surgical procedures.
</li><li>Make phone calls and schedule meetings to existing and new accounts
</li><li>Provide additional support in ordering, transporting, scheduling and assisting with surgical instrument/products at hospitals and surgery centers.
</li><li>Support and contribute to the growth of revenues in assigned territories through business development activities with surgeons, hospitals and related staff.
</li><li>Work directly with PMT sales staff, customer service, marketing team and other related departments within the company headquarters
</li><li>Develop the required technical, clinical and sales competencies through the completion of the sales associate development program in order to qualify and meet the expectations of becoming a Product Specialist within 18-24 month period.
</li><li>Other projects as needed or assigned</li>
</ul>
QUALIFICATIONS OF THE TERRITORY SALES MANAGER:
<ul>
<li>Must live within 30 miles of city listed.
</li><li>Ability to travel a minimum of 2 overnights/per week (40% travel)
</li><li>Bachelor&rsquo;s degree or equivalent experience
</li><li>2 years business-to-business outside sales experience, preferably with the same company or organization
</li><li>Experience in full sales cycle, from prospecting to finalized service agreement
</li><li>Entrepreneurial and self-starter attitude
</li><li>Demonstrated strong organizational, time-management and prioritization skills
</li><li>Proven record of successfully closing new business
</li><li>Comfortable observing medical procedures in the operating room
</li><li>Basic computer proficiency, particularly Microsoft Office and CRM/Netsuite
</li><li>Knowledge of Surgical Industry
</li><li>Valid and current driver&rsquo;s license and reliable vehicle</li>
</ul>
Build a rewarding new career in Medical Device Sales with an Industry Leader.

PMT Corporation is an Equal Opportunity Employer.</div>

Territory Sales Manager - Neurosurgery Division

Explore 74+ Computational scientist 3 cell tissue genomics in San Francisco this April. Find roles across top companies and apply now to boost your career.