Pay
Lower than most similar jobs
$135K–$165K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Data Scientist / Biostatistician
Reads like a ML Engineer role: putting models into production.
New York, NY, United States
Live, first seen by us 60 days ago- Pay
$135,000–165,000/yearAnnual period assumed — pay source
Equity-research experience is helpful but not required. Primary Location Full Time Salary Range of $135,000 - $165,000.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild AI and statistical models to predict trial results and probability of success
Analyze trial design, endpoints, powering, and safety data
Use LLMs and NLP to analyze publications, filings, and earnings transcripts
Create automated tools to track pipelines and clinical catalysts
Turn model outputs and clinical data into clear investment conclusions
From the employer’s posting
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.
Convert model outputs and clinical data into clear investment conclusions.
What you’ll bring
All qualificationsCore experience
- Strong Python or R skills.
- Experience building machine-learning, predictive, or generative-AI models.
- Strong knowledge of clinical-trial design and statistical analysis.
- Ability to explain complex scientific and quantitative findings clearly.
Qualification wording
Strong Python or R skills.
Experience building machine-learning, predictive, or generative-AI models.
Strong knowledge of clinical-trial design and statistical analysis.
Ability to explain complex scientific and quantitative findings clearly.
Education & alternatives
Qualifications - PhD, MD, or master’s degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field. - Strong Python or R skills.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 4, 202660 days ago
- Recorded sightings
- 76
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 60
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Jefferies is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
Where the posting names them
- PhD, MD, or master’s degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field. - Strong Python or R skills. - Experience building machine-learning, predictive, or generative-AI models.
Your next step
Complete your application on hdid.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
- Convert model outputs and clinical data into clear investment conclusions.
- Work with research analysts on company forecasts, pipeline valuations, and published research.
- Validate models and control for bias, overfitting, data leakage, and AI hallucinations.
Qualifications
- PhD, MD, or master’s degree preferred in biostatistics, statistics, data science, artificial intelligence, epidemiology, bioinformatics, computational biology, medicine, or a related field.
- Strong Python or R skills.
- Experience building machine-learning, predictive, or generative-AI models.
- Strong knowledge of clinical-trial design and statistical analysis.
- Ability to explain complex scientific and quantitative findings clearly.
- 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Equity-research experience is helpful but not required. Primary Location Full Time Salary Range of $135,000 - $165,000.
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.