H-1B Visa Principal Scientist Jobs
Principal Scientist roles qualify as H-1B visa specialty occupations because they require at least a bachelor's degree in a directly related scientific field. Employers sponsoring these positions file a Labor Condition Application with DOL and an I-129 petition with USCIS, covering up to three years of initial status.
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Get Access To All JobsCompany Overview:
Vividion is a next generation biotechnology company based in San Diego that is leveraging its proprietary chemical proteomics platform to conduct proteome-wide footprinting of drug-protein interactions with unprecedented breadth and precision. Our technology allows us to screen, identify and optimize novel drugs that selectively bind virtually any protein, including proteins previously considered “undruggable”. Our pipeline and emerging programs reflect a matured and productive platform capable of delivering first in class drugs utilizing novel mechanisms of action (allosteric inhibitors, protein-protein interaction inhibitors, functional activators, degraders etc.) against undruggable targets in the oncology and immunology space.
We prize scientific excellence, creativity, team players and we are committed to continued innovation. We have worked hard to create a collaborative and dynamic work culture where your ideas and discoveries are valued and will have an impact. We are growing and there are opportunities for mentorship and career progression.
Vividion has been recognized as a Top Workplace by The San Diego Union-Tribune from 2022 to 2025.
Job Summary:
Vividion is seeking a Senior or Principal Scientist, Clinical Computational Biology, to transform clinical data into actionable insights for our oncology and immunology programs. The Senior Scientist will analyze data from ongoing clinical trials, mine publicly available clinical trial datasets, and support reverse translational efforts that translate clinical findings back into discovery and preclinical research. They will also build tools to aid exploration and visualization of clinical data in a controlled environment.
The ideal candidate will bring deep expertise in cancer biology and/or immunology, a strong clinical and translational background, and the computational skills needed to transform complex patient data into usable biological insights. They will analyze and interpret biomarker measurements in the context of patient biology, drug exposure, biological response and safety, often in small cohorts with imperfect data. They must be able to communicate findings, limitations, and uncertainties clearly to clinicians, biologists, and program leadership.
The Senior Scientist will report to the Head of Computational Biology, with a dotted-line reporting relationship to the Head of Clinical Translation. They will work independently as part of a cross-disciplinary team within the Computational Biology group and Translational team, and partnering closely with Clinical Development, and Biology.
Essential Duties and Responsibilities:
- Analyze biomarker and pharmacodynamic data (e.g., proteomic, transcriptomic, genomic) from Vividion's ongoing clinical trials. Relate molecular changes to dose, exposure, response and safety, and translate the results into biological and clinical insight.
- Mine publicly available clinical trial and patient-level datasets to benchmark Vividion’s programs, contextualize clinical observations, and inform target and indication strategy.
- Drive reverse translational research by connecting clinical findings to preclinical models, discovery biology, and testable biological hypotheses.
- Build and maintain interactive tools for exploring and visualizing clinical data in a controlled-access environment, working with IT and Clinical Data Management to meet privacy and compliance requirements.
- Partner with Translational Medicine, Clinical Development, and Biology to shape biomarker strategy, including candidate selection, assay prioritization and data-driven hypotheses for upcoming studies.
- Communicate results clearly to clinicians, program teams and leadership. Contribute to data packages and decision-making and add reproducible code to a shared codebase.
Education and Experience Requirements:
- Ph.D. in Cancer Biology, Immunology, Systems Biology, Computational Biology or a related discipline with 3+ years of relevant industry experience; M.S. with 8+ years of relevant industry experience will also be considered.
- Demonstrated experience interpreting human clinical or translational datasets (e.g., clinical trial, cohort or patient-derived data), linking molecular measurements to disease biology, drug mechanism and clinical outcomes.
- Working statistical literacy, including regression, survival analysis and multiple-testing control, and an understanding of the pitfalls of small clinical cohorts and missing data.
- Proficiency in R and Python and in a UNIX/Linux environment; experience with reproducible workflows and version control.
- Hands-on experience with omics data (e.g., RNA-seq, proteomics, genomics); single-cell experience is a plus.
- Experience building interactive data applications (e.g., R Shiny, Dash) or comparable visualization tools for scientific users.
Preferred Qualifications:
- Experience in drug discovery or development, including oncology and/or immunology clinical data and biomarker-driven trials.
- Familiarity with clinical data standards and structures (e.g., CDISC SDTM/ADaM) and with data from clinical data management systems.
- Experience with public clinical and genomic resources (e.g., TCGA, cBioPortal, GEO, ClinicalTrials.gov, published trial datasets) and with reverse translation or translational biomarker work.
- Experience with pharmacokinetic/pharmacodynamic or exposure-response analysis.
- Experience handling sensitive clinical data under privacy, access-control and compliance requirements (e.g., HIPAA, GCP awareness).
- Experience deploying and maintaining applications on a shared server or cloud (e.g., Azure) environment.
Required Key Attributes:
- Strong foundation in disease biology and clinical medicine, and a passion for patient-focused scientific discovery.
- Excellent oral and written communication skills, including the ability to explain complex analyses to clinicians, biologists and other non-experts.
- Effective troubleshooting and problem-solving skills.
- An effective team player and strong individual contributor: flexible, able to work independently and in cross-functional teams, and able to handle multiple tasks and deliver high-quality results under tight timelines.
Pay & Benefits:
The anticipated base salary for this position ranges from $150,000 to $185,000 depending on relevant skills, competencies, experience, and education. In addition, this position is eligible for target bonus, long-term-incentives, 401k retirement savings plan with company match, and a comprehensive benefits package which includes medical, dental, vision, life, and disability insurance.
EEO & Employment Eligibility:
Vividion Therapeutics, Inc. is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other characteristic protected by applicable federal, state, or local laws.
Privacy Policy:
The protection of your personal information is a commitment we take seriously. For information regarding our Privacy Policy (CA candidates) please visit https://vividion.com/privacy-notice/.
Company Overview:
Vividion is a next generation biotechnology company based in San Diego that is leveraging its proprietary chemical proteomics platform to conduct proteome-wide footprinting of drug-protein interactions with unprecedented breadth and precision. Our technology allows us to screen, identify and optimize novel drugs that selectively bind virtually any protein, including proteins previously considered “undruggable”. Our pipeline and emerging programs reflect a matured and productive platform capable of delivering first in class drugs utilizing novel mechanisms of action (allosteric inhibitors, protein-protein interaction inhibitors, functional activators, degraders etc.) against undruggable targets in the oncology and immunology space.
We prize scientific excellence, creativity, team players and we are committed to continued innovation. We have worked hard to create a collaborative and dynamic work culture where your ideas and discoveries are valued and will have an impact. We are growing and there are opportunities for mentorship and career progression.
Vividion has been recognized as a Top Workplace by The San Diego Union-Tribune from 2022 to 2025.
Job Summary:
Vividion is seeking a Senior or Principal Scientist, Clinical Computational Biology, to transform clinical data into actionable insights for our oncology and immunology programs. The Senior Scientist will analyze data from ongoing clinical trials, mine publicly available clinical trial datasets, and support reverse translational efforts that translate clinical findings back into discovery and preclinical research. They will also build tools to aid exploration and visualization of clinical data in a controlled environment.
The ideal candidate will bring deep expertise in cancer biology and/or immunology, a strong clinical and translational background, and the computational skills needed to transform complex patient data into usable biological insights. They will analyze and interpret biomarker measurements in the context of patient biology, drug exposure, biological response and safety, often in small cohorts with imperfect data. They must be able to communicate findings, limitations, and uncertainties clearly to clinicians, biologists, and program leadership.
The Senior Scientist will report to the Head of Computational Biology, with a dotted-line reporting relationship to the Head of Clinical Translation. They will work independently as part of a cross-disciplinary team within the Computational Biology group and Translational team, and partnering closely with Clinical Development, and Biology.
Essential Duties and Responsibilities:
- Analyze biomarker and pharmacodynamic data (e.g., proteomic, transcriptomic, genomic) from Vividion's ongoing clinical trials. Relate molecular changes to dose, exposure, response and safety, and translate the results into biological and clinical insight.
- Mine publicly available clinical trial and patient-level datasets to benchmark Vividion’s programs, contextualize clinical observations, and inform target and indication strategy.
- Drive reverse translational research by connecting clinical findings to preclinical models, discovery biology, and testable biological hypotheses.
- Build and maintain interactive tools for exploring and visualizing clinical data in a controlled-access environment, working with IT and Clinical Data Management to meet privacy and compliance requirements.
- Partner with Translational Medicine, Clinical Development, and Biology to shape biomarker strategy, including candidate selection, assay prioritization and data-driven hypotheses for upcoming studies.
- Communicate results clearly to clinicians, program teams and leadership. Contribute to data packages and decision-making and add reproducible code to a shared codebase.
Education and Experience Requirements:
- Ph.D. in Cancer Biology, Immunology, Systems Biology, Computational Biology or a related discipline with 3+ years of relevant industry experience; M.S. with 8+ years of relevant industry experience will also be considered.
- Demonstrated experience interpreting human clinical or translational datasets (e.g., clinical trial, cohort or patient-derived data), linking molecular measurements to disease biology, drug mechanism and clinical outcomes.
- Working statistical literacy, including regression, survival analysis and multiple-testing control, and an understanding of the pitfalls of small clinical cohorts and missing data.
- Proficiency in R and Python and in a UNIX/Linux environment; experience with reproducible workflows and version control.
- Hands-on experience with omics data (e.g., RNA-seq, proteomics, genomics); single-cell experience is a plus.
- Experience building interactive data applications (e.g., R Shiny, Dash) or comparable visualization tools for scientific users.
Preferred Qualifications:
- Experience in drug discovery or development, including oncology and/or immunology clinical data and biomarker-driven trials.
- Familiarity with clinical data standards and structures (e.g., CDISC SDTM/ADaM) and with data from clinical data management systems.
- Experience with public clinical and genomic resources (e.g., TCGA, cBioPortal, GEO, ClinicalTrials.gov, published trial datasets) and with reverse translation or translational biomarker work.
- Experience with pharmacokinetic/pharmacodynamic or exposure-response analysis.
- Experience handling sensitive clinical data under privacy, access-control and compliance requirements (e.g., HIPAA, GCP awareness).
- Experience deploying and maintaining applications on a shared server or cloud (e.g., Azure) environment.
Required Key Attributes:
- Strong foundation in disease biology and clinical medicine, and a passion for patient-focused scientific discovery.
- Excellent oral and written communication skills, including the ability to explain complex analyses to clinicians, biologists and other non-experts.
- Effective troubleshooting and problem-solving skills.
- An effective team player and strong individual contributor: flexible, able to work independently and in cross-functional teams, and able to handle multiple tasks and deliver high-quality results under tight timelines.
Pay & Benefits:
The anticipated base salary for this position ranges from $150,000 to $185,000 depending on relevant skills, competencies, experience, and education. In addition, this position is eligible for target bonus, long-term-incentives, 401k retirement savings plan with company match, and a comprehensive benefits package which includes medical, dental, vision, life, and disability insurance.
EEO & Employment Eligibility:
Vividion Therapeutics, Inc. is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other characteristic protected by applicable federal, state, or local laws.
Privacy Policy:
The protection of your personal information is a commitment we take seriously. For information regarding our Privacy Policy (CA candidates) please visit https://vividion.com/privacy-notice/.
See all 896+ H-1B Visa Principal Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Principal Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Principal Scientist
Map your degree to the role
Pull the O*NET profile for your target SOC code and confirm your degree field aligns with the listed knowledge requirements. Mismatches between your discipline and the posted role are the most common reason USCIS issues an RFE on Principal Scientist petitions.
Verify prevailing wage before negotiating
Run your offer through the OFLC Wage Search using the correct SOC code and worksite zip code before accepting. Your employer's LCA must certify wages at or above the prevailing level, so knowing the threshold prevents surprises that stall the filing.
Target employers with active LCA filing history
Use Migrate Mate to identify employers with verified H-1B sponsorship history in research and life sciences. Focusing on companies that have filed LCAs for Principal Scientist or equivalent titles cuts time spent on employers who have never navigated scientific specialty occupation requirements.
Confirm each worksite gets its own LCA
If your role involves multiple lab locations or field sites, your employer must file a separate certified LCA for each worksite before you work there. Raise this with HR early so the filing timeline accounts for every location listed in your offer.
Secure your degree credential evaluation early
If your highest degree is from outside the U.S., get a credential evaluation from a NACES-member service before the petition is filed. USCIS scrutinizes foreign degree equivalencies closely for research roles where the specialty occupation argument depends on a specific discipline.
Plan around the H-1B cap and status ceiling
H-1B status is granted for up to three years initially and can be extended to a six-year maximum. If your role requires a long research trajectory, discuss green card sponsorship timelines with your employer before you sign, since the selection rules have changed recently.
H-1B Visa Principal Scientist: Frequently Asked Questions
Does a Principal Scientist role qualify as an H-1B specialty occupation?
Yes. Principal Scientist positions typically require at least a bachelor's degree in a directly related scientific field such as biochemistry, molecular biology, chemistry, or a related discipline, which satisfies the specialty occupation standard. Your employer documents this requirement in the LCA and I-129 petition, and USCIS evaluates whether the specific duties and degree requirement align. Roles that dilute the degree requirement to 'any bachelor's degree' are more likely to draw an RFE.
How do I find employers who actively sponsor H-1B visas for Principal Scientist roles?
Search Migrate Mate for Principal Scientist positions filtered by employers with verified H-1B LCA filing history in research, biotech, pharma, and life sciences. DOL's public disclosure data shows which companies have certified LCAs for scientific roles, and focusing your search on those employers significantly reduces the risk of pursuing opportunities where sponsorship is theoretical rather than practiced.
What documents should I prepare before an employer starts my H-1B petition?
Gather your degree transcripts and diploma, a credential evaluation if your degree is from outside the U.S., your CV detailing research duties and publications, and any professional licenses relevant to your field. Your employer will also need a detailed job description tying your specific duties to your degree field, since USCIS requires a clear nexus between the position's requirements and your academic background for specialty occupation approval.
What happens if my Principal Scientist role involves work at multiple lab sites?
Each worksite requires its own certified LCA before you begin working there. If your position involves rotating between facilities or conducting fieldwork at client or partner sites, your employer must file separate LCAs for each location. Overlooking this requirement is a common compliance gap in research roles, so confirm the full worksite list with HR before your petition is submitted to USCIS.
Can I switch employers mid-petition or during H-1B status?
Once you hold H-1B status, you can begin working for a new employer as soon as the new I-129 petition is filed with USCIS, without waiting for approval. This portability rule applies only if you're already in valid H-1B status. If you're waiting for a cap-subject petition to be approved, you must wait for the approval before starting with the new employer.