Jefferies
Data Scientist / Biostatistician
New York, NY, United States · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$9,414 more — $144,414 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $144,414 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 44%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- AI-Driven Biotech & Pharma Equity Research
- We are seeking a Data Scientist / Biostatistician to join our biotech and pharmaceutical equity research team. The role will focus on building proprietary AI, machine-learning, and statistical models to predict clinical-trial outcomes and generate differentiated investment insights.
Responsibilities
- Build AI and statistical models to predict clinical-trial results, probability of success, regulatory outcomes, and commercial potential.
- Analyze trial design, endpoints, powering, patient populations, treatment effects, safety, and subgroup data.
- Use generative AI, LLMs, and natural-language processing to analyze scientific publications, regulatory documents, trial registries, company disclosures, and earnings transcripts.
- Create automated tools to track pipelines, clinical catalysts, competitive programs, and emerging risks.
- Validate models and control for bias, overfitting, data leakage, and AI hallucinations.
Requirements
- Ability to explain complex scientific and quantitative findings clearly.
- Strong Python or R skills.
- Experience building machine-learning, predictive, or generative-AI models.
- Strong knowledge of clinical-trial design and statistical analysis.
- Interest in biotechnology, drug development, investing, and financial markets.
- Equity-research experience is helpful but not required.
- Primary Location Full Time Salary Range of $135,000 - $165,000.
Nice to have
- PhD, MD, or master's degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field.
Compensation
- Primary Location Full Time Salary Range of $135,000 - $165,000.
Benefits
- AI-Driven Biotech & Pharma Equity Research
- We are seeking a Data Scientist / Biostatistician to join our biotech and pharmaceutical equity research team.
- The role will focus on building proprietary AI, machine-learning, and statistical models to predict clinical-trial outcomes and generate differentiated investment insights.
Company info
- AI-Driven Biotech & Pharma Equity Research We are seeking a Data Scientist / Biostatistician to join our biotech and pharmaceutical equity research team.
This listing is sourced directly from Jefferies's careers page and normalized into a canonical job model.