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Senior Data Science Startup Jobs in Massachusetts

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... A collaborative and dynamic startup environment. * Professional growth and development ...

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

In keeping with this overarching aim, the senior data scientist will be required to outline work ... You should also harness your mastery of Data Science to consult on various aspects of these and ...

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug ... Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ...

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug ... Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ...

Role overview As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and ...

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Everything you would expect on a world-class data science team solving world-class problems. Big ... A fun, team-oriented startup culture. * Generous stock options - we all get to own a piece of what ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

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Senior Data Science Startup information

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Senior Data Scientist

phasevtrials.com

Boston, MA • On-site

$100 - $130/hr

Other

Posted 4 days ago


Job description

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we’ve released to get a sense of the challenges:

  • Causal Responder Detection (https://arxiv.org/abs/2406.17571)
Key Responsibilities

Technical Development:

  • Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
  • Collaborate with senior data scientists to develop and improve our analytical platforms
  • Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:

  • Conduct rigorous statistical analyses of both randomized and observational data
  • Develop and validate methods for responder identification and treatment effect estimation
  • Document and present methodologies and results for internal and external stakeholders
  • Work cross-functionally with engineering and product teams
  • Contribute to technical discussions and peer code reviews
  • Support the preparation of technical documentation and research papers
Qualifications

Education:

  • Master's in Computer Science, Statistics, Data Science, Engineering or a related field
  • Ph.D. is an advantage but not required

Experience:

  • 3+ years of experience in data science or machine learning roles
  • Experience with ML in a practical research or industry setting
  • Background in statistical modeling and analysis

Skills:

  • Strong programming skills in Python (R in addition - an advantage)
  • Proficiency in statistical analysis and machine learning
  • Experience with data visualization and communication of technical concepts
  • Strong analytical and problem-solving skills

Preferred:

  • Familiarity with causal inference concepts
  • Experience in healthcare or biotech industry
  • Experience with large-scale data processing
What We Offer
  • Join us on a mission to bring more effective drugs to more patients.
  • The opportunity to work with an amazing team passionate about making a real-world impact.
  • Extremely hard and diverse problem setting, in which the team is pushing the envelope.
  • A collaborative and dynamic startup environment.
  • Professional growth and development opportunities.
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