clinical research associate

hri researcher

investment research associate Jobs in San Francisco

investment research associate

jr. specialist – abuabara research group Jobs in San Francisco

junior, assistant, associate, and full specialist – chen lab Jobs in San Francisco

jr specialist abuabara research group

UC San Francisco Academic

<div><div><h3 class="jobSectionHeader">Application Window</h3>
</div><div>Open date: March 19, 2026
</div><div>Next review date: Friday, Apr 3, 2026 at 11:59pm (Pacific Time) 
Apply by this date to ensure full consideration by the committee.
</div><div>Final date: Sunday, Sep 19, 2027 at 11:59pm (Pacific Time) 
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
</div><h3 class="jobSectionHeader">Position description</h3>
<div><div>Jr. Specialist &ndash; Abuabara Research Group
We are a research group studying atopic dermatitis disease course and comorbidities, environmental drivers of inflammatory skin disease, comparative effectiveness of treatments, and skin barrier function and aging.
<div>The individual hired for this position will support ongoing research projects. Responsibilities may include:
 
<ul><li>Assisting with patient visits and laboratory testing, including coordinating schedules, collecting samples, and ensuring proper documentation
</li><li>Conducting literature searches and background research to support study design, manuscripts, and grant proposals
</li><li>Performing data checks, quality control, and proofreading for manuscripts, reports, and presentations
</li><li>Setting up and managing REDCap surveys, including survey design, data entry, and troubleshooting
</li><li>Generating tables, figures, and visual summaries of study results for presentations and publications
</li><li>Cleaning, retrieving, and organizing datasets, ensuring data integrity and consistency
</li><li>Assisting with study protocols, regulatory documentation, and standard operating procedures</li><li>Supporting team meetings and contributing to discussions on study design, data interpretation, and problem-solving
</li><li>Collaborating with research staff, clinicians, and trainees to facilitate smooth project workflow</li></ul></div>
Funding for this position is available for two years from the date of hire.
<div>Required Qualifications:
 
<ul><li>Specialists appointed at the Junior rank must possess a BA/BS degree (or equivalent degree) or at least four years of research experience, at the time of hire</li></ul></div>
<div>Preferred Qualifications:
 
<ul><li>Strong attention to detail and organizational skills
</li><li>Interest in learning and contributing to clinical and epidemiologic research
</li><li>Ability to work collaboratively in a team-based research environment</li><li>Experience with patient-facing research activities</li><li>Experience with REDCap, data analysis, or manuscript preparation</li></ul></div>
Please apply online with a CV and cover letter. Applicants&rsquo; materials must list pending qualifications. Applicants must have required qualifications by time of hire.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000 - $58,600.
</div></div>
<h3 class="jobSectionHeader">Application Requirements</h3>
<div><div>Document requirements
<ul><li><div>Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
</div></li><li><div>Cover Letter
</div></li></ul>
</div></div><h3 class="jobSectionHeader">About UC San Francisco</h3>
<div>
<div>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is 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, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
<div>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. 
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.</li><li>UC Sexual Violence and Sexual Harassment Policy</li><li>UC Anti-Discrimination Policy</li><li>APM - 035: Affirmative Action and Nondiscrimination in Employment
</li></ul></div></div></div><h3 class="jobSectionHeader">Job location</h3>
<div>San Francisco, CA</div></div>

Jr. Specialist – Abuabara Research Group

University of California, San Francisco

<div>
 
 Position Description
 
 
 
 
 Junior, Assistant, Associate, and Full Specialist &ndash; Chen lab
 
 
 
 The Chen lab is seeking several Junior/Assistant/Associate/Full Specialist to join our interdisciplinary team at the Weill Institute for Neurosciences on the Mission Bay campus. Our research focus is on developing cutting-edge technologies to study brain-body physiology and to design new therapies for circuit disorders. Click here for more information about our work.
 
 
 We are looking for highly motivated individuals interested in engineering of biomolecules, cells, and devices within the nervous system or understanding the neurobiology of interoception. The researcher will be involved in experiments to record and stimulate specific neurons in vitro and in vivo. Experimental responsibilities may include performing stereotaxic procedures, electrophysiology recording, animal husbandry, molecular biology (e.g., cloning, making vectors), immunohistochemistry, and other duties. The researcher is expected to contribute substantially to the preparation of papers for publication, and will have the opportunity to present ongoing work to colleagues and/or academic conferences. The specialist will also be involved with lab management duties, including overseeing supply and equipment maintenance and work with health and safety departments to ensure the lab complies with regulations and all required trainings. We are committed to your success and provide opportunities for close mentorship and guidance in research and career training.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Junior Specialist - Baccalaureate degree (or equivalent degree) in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or at least four years of research experience, by the time of hire.
 </li>
 <li>
 Assistant Specialist - Master&rsquo;s degree in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or a baccalaureate degree in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines with 3 or more years of research experience, by the time of hire.
 </li>
 <li>
 Associate Specialist - Master&rsquo;s degree (or equivalent degree) in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or five to ten years of experience in the relevant specialization, by the time of hire.
 </li>
 <li>
 Full Specialist - terminal degree (or equivalent degree) in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or ten or more years of experience in the relevant specialization, by the time of hire.
 </li>
 <li>
 Possess excellent organizational and communication skills, both verbal and written.
 </li>
 <li>
 Demonstrate a willingness and ability to adapt and acquire new techniques and skills to align with shifting research priorities.
 </li>
 <li>
 Work both independently and collaboratively as a part of a research team.
 </li>
 <li>
 Applicants&rsquo; materials must list current and/or pending qualifications upon submission.
 
 
 </li>
 </ul>
 Click HERE to Apply .
 
 
 See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000 - $194,800.
 
 
 
 Document Requirements
 
 
 
 <ul>
 <li>
 Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
 </li>
 <li>
 Cover Letter
 </li>
 <li>
 Statement of Research (Optional)
 </li>
 <li>
 Statement of Teaching (Optional)
 
 
 </li>
 </ul>
 
 Reference Requirements
 
 
 
 <ul>
 <li>
 2-3 required (contact information only)
 
 
 </li>
 </ul>
 As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
 
 
 The University of California is 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, disability, age, protected veteran status, or other protected status under state or federal law.
 
 
 UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
 
 
 As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
 
 
 <ul>
 <li>
 &ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
 </li>
 <li>
 UC Sexual Violence and Sexual Harassment Policy
 </li>
 <li>
 UC Anti-Discrimination Policy
 </li>
 <li>
 APM - 035: Affirmative Action and Nondiscrimination in Employment
 
 
 </li>
 </ul>
 San Francisco, CA
</div>

Junior, Assistant, Associate, and Full Specialist – Chen lab

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
The Data and Digital Catalyst - Solutions group within the CS CoE leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.
The Opportunity:
We are seeking an experienced Software Engineer with a background in drug discovery, ideally in protein sciences or a related area. In this role you will design and develop scientific software platforms that enable the capture, analysis, storage, and reporting of research data related to therapeutic molecules. You will work closely with Data Engineers, Product Leaders, and Tech/ML Ops as well as directly with our key partners including Computational Scientists, ML Scientists, and Research Scientists. You'll build robust and scalable systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.<div></div>
In This Role:<ul><li>
Work directly with cross-functional teams across the drug discovery research organization to deliver intuitive, sustainable software solutions addressing urgent scientific challenges.</li><li>
Design and implement robust, scalable, and maintainable software platforms for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.</li><li>
Understand, maintain, and evolve existing critical applications into extensible platforms.</li><li>
Own and drive software initiatives through design, implementation, testing, and deployment.</li></ul><div></div>
Who You Are:<ul><li>
Background in drug discovery, protein science, or related scientific field.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or similar technical field, or Ph.D. in Protein Science or a closely related field, plus 6+ years of professional experience in full-stack software development.</li><li>
Strong proficiency in Python or Java, plus experience with a frontend or backend web framework.</li><li>
Experience with databases, data transformations, and data access.</li><li>
Experience working on cloud-native architectures in public clouds (ideally AWS).</li><li>
Proven understanding and application of engineering best practices and ability to quickly adapt to new technologies.</li><li>
An AI-first approach to development, user experience, and data access.</li><li>
Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.</li><li>
Curiosity and a passion for continuous learning.</li></ul>
Even if you don't feel that you meet every single requirement, we still encourage you to apply. We&rsquo;re eager to hear how your unique background and passion for our mission make you a great fit for our team.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week. 
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $142,500 - $264,700. 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
#LI-JD1
#ComputationCoE
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
Mar 18th 2026
</div><div>Job ID
202603-107061</div></ul></div></div></div></div>

Senior Software Engineer - Drug Discovery

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Life Sciences AI Specialist 
Type: Contract 
Compensation: $73/hour 
Location: Remote
Role Responsibilities<ul><li>
Write and refine prompts to guide model behavior in the life sciences context.</li><li>
Evaluate LLM-generated responses to biology-related queries for scientific accuracy and reasoning quality.</li><li>
Conduct fact-checking using authoritative public sources and domain knowledge.</li><li>
Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.</li><li>
Assess clarity, structure, and appropriateness of explanations for different audiences.</li><li>
Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines.</li></ul>
Qualifications
Must-Have<ul><li>
PhD in Biology or a closely related life sciences field.</li><li>
Deep expertise in Molecular &amp; Cellular Biology, Organismal Physiology &amp; Development, Microbiology, Immunology &amp; Pathobiology, or Ecology, Evolution &amp; Environmental Biology.</li><li>
Significant experience using large language models (LLMs).</li><li>
Excellent writing skills and ability to explain complex life sciences concepts.</li><li>
Strong attention to detail.</li><li>
Experience reviewing or editing technical or academic writing.</li></ul>
Preferred<ul><li>
Prior experience with RLHF, model evaluation, or data annotation work.</li><li>
Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences.</li><li>
Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Research Associate, Biological Sciences

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Life Sciences AI Specialist
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $73/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Write and refine prompts to guide model behavior in the life sciences context.
 </li>
 <li>
 Evaluate LLM-generated responses to biology-related queries for scientific accuracy and reasoning quality.
 </li>
 <li>
 Conduct fact-checking using authoritative public sources and domain knowledge.
 </li>
 <li>
 Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.
 </li>
 <li>
 Assess clarity, structure, and appropriateness of explanations for different audiences.
 </li>
 <li>
 Ensure model responses align with expected conversational behavior and system guidelines.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 PhD in Biology or a closely related life sciences field
 </li>
 <li>
 Deep expertise in Molecular &amp; Cellular Biology, Organismal Physiology &amp; Development, Microbiology, Immunology &amp; Pathobiology, or Ecology, Evolution &amp; Environmental Biology
 </li>
 <li>
 Significant experience using large language models (LLMs)
 </li>
 <li>
 Excellent writing skills to clearly explain complex life sciences concepts
 </li>
 <li>
 Strong attention to detail
 </li>
 <li>
 Experience reviewing or editing technical or academic writing
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience with RLHF, model evaluation, or data annotation work
 </li>
 <li>
 Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences
 </li>
 <li>
 Familiarity with evaluation rubrics, benchmarks, or structured review frameworks
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Molecular Biology Researcher

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Red Team Specialist
 
 
 
 Type:
 
 
 Full-time or Part-time Contract Work
 
 
 
 
 Compensation:
 
 
 $29/hour
 
 
 
 
 Location:
 
 
 Remote
 
 ; Geography restricted to
 
 USA, Brazil
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Evaluate conversational AI models for vulnerabilities through jailbreaks, prompt injections, and misuse cases.
 </li>
 <li>
 Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
 </li>
 <li>
 Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing.
 </li>
 <li>
 Document reproducibly by producing reports, datasets, and attack cases that customers can act on.
 </li>
 <li>
 Work independently and asynchronously to meet deadlines while improving AI model performance.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Prior experience in red teaming (AI adversarial work, cybersecurity, socio-technical probing).
 </li>
 <li>
 Native-level fluency in English and Brazilian Portuguese.
 </li>
 <li>
 Strong communication skills to explain risks clearly to technical and non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in Adversarial ML (jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction).
 </li>
 <li>
 Background in Cybersecurity (penetration testing, exploit development, reverse engineering).
 </li>
 <li>
 Expertise in Socio-technical risk (harassment/disinfo probing, abuse analysis, conversational AI testing).
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 Hourly contractor, Paid weekly.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Adversarial AI Offensive Security Engineer

Anthropic

<div>
 
 About Anthropic
 
 
 
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 
 
 
 About The Role
 
 
 
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
 </li>
 <li>
 Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
 </li>
 <li>
 Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
 </li>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
 </li>
 <li>
 Influence the future roadmap of Product and GTM teams from a data systems perspective
 </li>
 <li>
 Become an expert in our organization&rsquo;s data models and the company's data architecture
 
 
 </li>
 </ul>
 
 You Might Be a Good Fit If You Have
 
 
 
 <ul>
 <li>
 5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
 </li>
 <li>
 A passion for the company's mission of building helpful, honest, and harmless AI.
 </li>
 <li>
 Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
 </li>
 <li>
 Expertise in SQL and Python to transform data into accurate, clean data models.
 </li>
 <li>
 Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
 </li>
 <li>
 A bias for action and urgency, not letting perfect be the enemy of the effective.
 </li>
 <li>
 A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
 </li>
 <li>
 Experience building an Analytics Data Engineering (or similar) function at start-ups.
 </li>
 <li>
 A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
 
 
 </li>
 </ul>
 The annual compensation range for this role is listed below.
 
 
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 
 
 
 Annual Salary
 
 
 
 $275,000&mdash;$370,000 USD
 
 
 
 Logistics
 
 
 
 
 Education requirements:
 
 We require at least a Bachelor's degree in a related field or equivalent experience.
 
 
 
 Location-based hybrid policy:
 
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 
 
 
 Visa sponsorship:
 
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 
 
 
 We encourage you to apply even if you do not believe you meet every single qualification.
 
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 
 
 
 Your safety matters to us.
 
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 
 
 
 How We're Different
 
 
 
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 
 
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 
 
 
 Come work with us!
 
 
 
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 
 Guidance on Candidates' AI Usage:
 
 Learn about our policy for using AI in our application process
</div>

Analytics Data Engineer

Explore 240+ Jr specialist abuabara research group in San Francisco this March. Find roles across top companies and apply now to boost your career.