H-1B Visa Clinical Data Analyst Jobs
Clinical Data Analyst roles qualify as H-1B visa specialty occupations because they require a bachelor's degree or higher in statistics, biostatistics, computer science, or a related field. Pharma, biotech, CROs, and health systems are among the most active H-1B sponsors for this occupation, and many file year-round outside the annual cap through cap-exempt institutions.
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Get Access To All JobsINTRODUCTION
Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.
Position Summary
We are seeking a highly motivated and innovative Clinical Data Analytics Developer for a 4-month contract engagement focused on the design and development of advanced analytics solutions supporting Clinical Data Management. This is a hands-on development role with a primary focus on building a Clinical Systems Audit Trail Review platform leveraging modern analytics, visualization, machine learning, and emerging AI technologies. The consultant will work closely with Clinical Data Management and cross-functional stakeholders to develop intelligent review workflows, anomaly detection capabilities, operational dashboards, and data-driven monitoring solutions across clinical study systems. The successful candidate will have strong experience developing data applications using R Shiny, R, Python, SQL, and modern visualization technologies. Experience working with clinical trial data, clinical systems, and regulated environments is highly desirable. This role offers an opportunity to contribute to innovative initiatives involving machine learning, intelligent analytics, and evaluation of future AI-enabled capabilities for clinical data review and operational oversight.
KEY RESPONSIBILITIES
During the engagement, the consultant will be expected to:
- Lead development of an Audit Trail Review application supporting clinical systems such as EDC, RTSM, eCOA/ePRO, and related clinical platforms.
- Build interactive dashboards and analytics workflows supporting clinical data review and operational monitoring.
- Develop anomaly detection and risk identification capabilities using statistical and machine learning techniques.
- Evaluate future AI-enabled opportunities including intelligent review assistants, AI-assisted analytics, and agent-based workflows.
- Provide recommendations regarding AI technology utilization, security considerations, operational feasibility, scalability, and cost implications.
- Deliver documentation and technical knowledge transfer materials to support future enhancements and long-term maintenance.
- Design, develop, and maintain clinical analytics applications, dashboards, and reporting solutions using R Shiny, R, Python, SQL, and modern visualization tools.
- Develop data review, monitoring, and risk identification capabilities using statistical and machine learning techniques.
- Collaborate with Clinical Data Management and cross-functional stakeholders to gather requirements, validate solutions, and deliver high-quality applications.
- Create technical documentation and support knowledge transfer activities.
REQUIRED QUALIFICATIONS
- 8+ years of experience with a Bachelor's degree, or 6+ years with a post graduate degree in Computer Science, Data Science, Statistics, Bioinformatics, Life Sciences, or related field.
- Minimum 3 years of experience developing analytics, reporting, dashboard, or software solutions.
- Experience with R, R Shiny, Python and SQL.
- Experience developing dashboards, data visualizations, and interactive applications.
- Hands-on experience developing, implementing, or evaluating Machine Learning (ML) models and AI-driven solutions for data analytics, pattern recognition, anomaly detection, automation, or decision support applications.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple priorities.
The expected hourly range for this role is $75.48 to $82.21 depending on skills, competency, and the market demand for your expertise.
Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment. We are currently not accepting any new third-party agencies or firms at this time. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Eikon Therapeutics will not pay fees to any third-party agency or firm associated with unsolicited resumes.
INTRODUCTION
Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.
Position Summary
We are seeking a highly motivated and innovative Clinical Data Analytics Developer for a 4-month contract engagement focused on the design and development of advanced analytics solutions supporting Clinical Data Management. This is a hands-on development role with a primary focus on building a Clinical Systems Audit Trail Review platform leveraging modern analytics, visualization, machine learning, and emerging AI technologies. The consultant will work closely with Clinical Data Management and cross-functional stakeholders to develop intelligent review workflows, anomaly detection capabilities, operational dashboards, and data-driven monitoring solutions across clinical study systems. The successful candidate will have strong experience developing data applications using R Shiny, R, Python, SQL, and modern visualization technologies. Experience working with clinical trial data, clinical systems, and regulated environments is highly desirable. This role offers an opportunity to contribute to innovative initiatives involving machine learning, intelligent analytics, and evaluation of future AI-enabled capabilities for clinical data review and operational oversight.
KEY RESPONSIBILITIES
During the engagement, the consultant will be expected to:
- Lead development of an Audit Trail Review application supporting clinical systems such as EDC, RTSM, eCOA/ePRO, and related clinical platforms.
- Build interactive dashboards and analytics workflows supporting clinical data review and operational monitoring.
- Develop anomaly detection and risk identification capabilities using statistical and machine learning techniques.
- Evaluate future AI-enabled opportunities including intelligent review assistants, AI-assisted analytics, and agent-based workflows.
- Provide recommendations regarding AI technology utilization, security considerations, operational feasibility, scalability, and cost implications.
- Deliver documentation and technical knowledge transfer materials to support future enhancements and long-term maintenance.
- Design, develop, and maintain clinical analytics applications, dashboards, and reporting solutions using R Shiny, R, Python, SQL, and modern visualization tools.
- Develop data review, monitoring, and risk identification capabilities using statistical and machine learning techniques.
- Collaborate with Clinical Data Management and cross-functional stakeholders to gather requirements, validate solutions, and deliver high-quality applications.
- Create technical documentation and support knowledge transfer activities.
REQUIRED QUALIFICATIONS
- 8+ years of experience with a Bachelor's degree, or 6+ years with a post graduate degree in Computer Science, Data Science, Statistics, Bioinformatics, Life Sciences, or related field.
- Minimum 3 years of experience developing analytics, reporting, dashboard, or software solutions.
- Experience with R, R Shiny, Python and SQL.
- Experience developing dashboards, data visualizations, and interactive applications.
- Hands-on experience developing, implementing, or evaluating Machine Learning (ML) models and AI-driven solutions for data analytics, pattern recognition, anomaly detection, automation, or decision support applications.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple priorities.
The expected hourly range for this role is $75.48 to $82.21 depending on skills, competency, and the market demand for your expertise.
Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment. We are currently not accepting any new third-party agencies or firms at this time. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Eikon Therapeutics will not pay fees to any third-party agency or firm associated with unsolicited resumes.
See all 333+ H-1B Visa Clinical Data Analyst Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Clinical Data Analyst
Verify your degree supports specialty occupation
USCIS requires your degree field to directly relate to clinical data analysis. A degree in biostatistics, health informatics, or computer science strengthens your petition far more than a general business degree, even with equivalent work experience.
Target cap-exempt employers first
Hospitals, academic medical centers, and nonprofit research institutions are cap-exempt, meaning they can file your H-1B any time of year without entering the lottery. This significantly shortens your path from offer to authorization.
Search H-1B sponsors on Migrate Mate
Use Migrate Mate to filter Clinical Data Analyst roles by employers with verified H-1B LCA filing history. This surfaces sponsors who have actually filed for this occupation, not just companies that list sponsorship as a possibility.
Check prevailing wage before negotiating salary
Your employer must pay at least the DOL prevailing wage for your job title and location. Run your offer against the OFLC Wage Search using the correct Standard Occupational Classification code before accepting, so you know the minimum the LCA must certify.
Document your clinical systems expertise specifically
Employers filing your H-1B petition need to demonstrate the role requires a specialized degree. Your resume and job description should explicitly name tools like SAS, R, Medidata Rave, or Veeva Vault, since generic 'data analyst' framing invites USCIS requests for evidence.
Request premium processing for faster adjudication
USCIS premium processing upgrades your I-129 petition to a 15-business-day decision window. If your start date is time-sensitive or your OPT is expiring, ask your employer's immigration counsel whether premium processing is included in the sponsorship offer.
H-1B Visa Clinical Data Analyst: Frequently Asked Questions
Does a Clinical Data Analyst role qualify as an H-1B specialty occupation?
Yes. USCIS classifies Clinical Data Analyst positions as specialty occupations because they require at least a bachelor's degree in a directly related field such as biostatistics, health informatics, or computer science. The key is that the job description must demonstrate this degree requirement is standard for the position, not simply preferred. Roles at CROs, pharma companies, and academic medical centers consistently meet this standard.
Which employers sponsor H-1B visas for Clinical Data Analysts?
Pharmaceutical companies, contract research organizations, health systems, and biotech firms are among the most active H-1B sponsors for this role. Academic medical centers and nonprofit research hospitals also sponsor frequently and are cap-exempt, meaning they can file petitions at any time of year. Migrate Mate lets you search Clinical Data Analyst positions filtered by employers with verified H-1B LCA filing history.
Can I use my OPT or STEM OPT to work as a Clinical Data Analyst while waiting for H-1B selection?
Yes. If you're on F-1 status, standard OPT gives you 12 months of work authorization, and a qualifying STEM degree in fields like biostatistics or health informatics may extend that by 24 months. STEM OPT requires your employer to be E-Verify enrolled. That 36-month window gives you time to enter the H-1B lottery across multiple fiscal years if needed.
What happens to my H-1B if I switch employers mid-project in a clinical trial role?
Your new employer must file an H-1B transfer petition before your last day with the current employer to maintain continuous work authorization under portability rules. For Clinical Data Analysts embedded in ongoing trials, your new employer should document that the role's duties and degree requirements are consistent with your approved petition to avoid a request for evidence from USCIS.
Does the O*NET occupation code for Clinical Data Analyst affect my H-1B petition?
The Standard Occupational Classification code tied to your role maps directly to the prevailing wage your employer must certify on the LCA. Clinical Data Analysts are typically classified under database and systems administrators or operations research analysts depending on the job duties. Using the wrong O*NET code can result in an incorrect prevailing wage determination, which DOL or USCIS may flag during review.