- Design, implement, and optimize data science models using diverse healthcare data.
- Engage in genomic analyses such as RNA-Seq differential expression, variant calling, and GWAS.
- Implement NLP solutions tailored to life sciences datasets.
- Collaborate effectively with remote teams to ensure seamless communication and delivery.
- Educate and present complex data science findings to non-technical stakeholders, ensuring clarity and actionable insights.
- An advanced degree (PhD) in a quantitative field such as computer science, or engineering.
- A minimum of 3 years of post-graduate experience in life sciences analytics, e.g., in Pharma, Biotech, or Consulting.
- Demonstrated coding proficiency in Python and Java.
- Proven track record of collaborating with remote teams.
- Familiarity with major healthcare data types such as -omics, claims, and clinical data (EHR).
- Prior experience in genomic analysis.
- NLP expertise applied to life sciences and healthcare text.
- Strong foundation in data engineering and databases.
- Experience with graphs, including feature engineering, machine learning, and visualizations.
- Cloud platform experience, particularly AWS or Google Cloud.
- Demonstrated ability to deliver complex data science outputs to senior leadership.
- Opportunity to work on challenging, that will be immediately deployed to accelerate the discovery of new therapeutics
- Extremely competitive salary
- Significant Equity
- Medical, dental, and vision insurance
- Highly Competitive Base + Bonus
- Maternity/Paternity leave
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Senior Data Scientist - Boston, United States - Storm3
Description
Senior Data Scientist
Publicly listed Biotech
Boston, USA (Hybrid)
Up to $180k Base + Significant Equity + Bonus
Interested in joining a company that are revolutionizing the AI Drug Discovery world?
They are building a world-class ML team to accelerate the use to computational methods in AI drug discovery.
Responsibilities:
Requirements:
Desired Skills:
Benefits
Interested in applying? Please click on the 'Easy Apply' button
