Full-Time

Staff Scientist

Computational Biology

Posted on 12/20/2024

Recursion Pharmaceuticals

Recursion Pharmaceuticals

501-1,000 employees

Clinical-stage biotechnology company for drug discovery

Data & Analytics

Compensation Overview

$199k - $222kAnnually

+ Bonus + Equity Compensation

Senior, Expert

Salt Lake City, UT, USA + 3 more

More locations: London, UK | Toronto, ON, Canada | New York, NY, USA

This is a hybrid position requiring employees to spend 50% of their time in the office.

Category
Computational Biology
Genomics
Biology Lab & Research
Biology & Biotech
Required Skills
Python
Data Science
R
Machine Learning
Data Analysis

You match the following Recursion Pharmaceuticals's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer/cell biology, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery OR MS in a relevant field and 7+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high level programming language such as Python or R
  • Experience in efficiently advancing drug programs from proof of concept and into clinical development
  • Deep expertise in the analysis and data integration of two or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics), including experience working with patient data
  • Exceptional data visualization skills
  • Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations.
Responsibilities
  • Evaluate new data sources, develop and scale new analysis methods, and drive key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
  • Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic, primarily in oncology
  • Pilot novel methods for patient stratification and indication selection or expansion in oncology
  • Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
  • Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
  • Collaborate cross-functionally with Recursion’s data science, platform, ML and clinical teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs.
Desired Qualifications
  • Experience analyzing data from imaging-based modalities
  • Experience with oncology clinical trial biomarker analysis
  • Experience working collaboratively with biometrics and statistical sciences.
Recursion Pharmaceuticals

Recursion Pharmaceuticals

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Recursion is a clinical-stage biotechnology company utilizing a synchronized combination of hardware, software, and data to industrialize drug discovery and decode complex biology, reshaping the traditional drug discovery funnel through technological innovations. Their approach integrates biology, chemistry, automation, and data science to build a next-generation biopharmaceutical company.

Company Stage

IPO

Total Funding

$764.1M

Headquarters

Salt Lake City, Utah

Founded

2013

Growth & Insights
Headcount

6 month growth

17%

1 year growth

2%

2 year growth

17%
INACTIVE