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PhaseV

Senior Data Scientist

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $140K - 215K a year · our estimate

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Description

The company is a startup based in Boston with R&D in Tel Aviv. It builds an ML platform that helps drug sponsors design and run adaptive clinical trials, and it works with seven of the top pharmaceutical companies as well as several CROs and biotechs.

The team is made up of researchers. The role focuses on machine learning with an interest in causal inference, and you would work directly with clients. The company is growing and the role gives you room to act on your own judgment.

Recent preprints from the team include Causal Responder Detection and Robust CATE Estimation Using Novel Ensemble Methods.

Responsibilities

  • Build and tune machine learning algorithms, mainly causal ML for clinical trials.
  • Help senior data scientists build and improve the analytical platform.
  • Work with clinical and biological experts to turn their problems into technical solutions.
  • Run rigorous statistical analyses on randomized and observational data.
  • Create and test methods for identifying responders and estimating treatment effects.
  • Write up and present methods and results to internal and external audiences.
  • Work with engineering, product, and business development teams.
  • Take part in technical discussions and peer code reviews.
  • Help prepare technical documentation and research papers.

Requirements

  • A master's degree in computer science, statistics, data science, engineering, or a related field.
  • 3+ years of experience in data science or machine learning.
  • Practical experience applying ML in research or industry.
  • A background in statistical modelling and analysis.
  • Experience working in biotechnology or life sciences.
  • Strong Python programming skills.
  • Proficiency in statistical analysis and machine learning.
  • Experience with data visualization and explaining technical ideas.
  • Clear communication of results.
  • Strong analytical and problem-solving skills.
  • Preferred: a PhD, R programming, familiarity with causal inference, and experience with large-scale data processing.

Conditions

A PhD is an advantage but not required.

R is an advantage alongside Python.

The role involves working with ambiguity and taking initiative.

Equal opportunity: the company welcomes applicants from all backgrounds.

Benefits

  • Work on the mission of bringing more effective drugs to more patients.
  • Join a team of people who care about real-world impact.
  • Tackle a very hard and varied set of problems, where the team is pushing the limits.
  • Work in a collaborative, dynamic startup environment.
  • Opportunities for professional growth and development.

Where you’d work

From the office

About the company

PhaseV

  • Industry: HealthTech

Office in United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 18 checks run
  • 2 red flags

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Details11 facts · Role, Location, Compensation, Company
Tech stack
  • Python
Seniority
Senior
Industry
HealthTech
Specialty
Data Science
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
3+ years
Tech stack
  • Python

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Company

Industry
HealthTech

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