Recursion Pharmaceuticals

Manager, Computational Biology (Early Oncology)

New York, New York; Salt Lake City, Utah

Sponsorship not specified$167k-$221kDetected 13 days ago

PythonData AnalysisData ScienceData VisualizationStatisticsA/B TestingRecruitingBioinformaticsCRISPRExperimental DesignLeadershipCommunicationCollaborationMentoring

About the role

The Impact You'll Make As a Manager within Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles.
You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team.
The Team You'll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace.

Responsibilities

Including your own.
You will lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology therapeutics.
Lead the design and execution of analyses for target nomination and validation, using Recursion's platform to identify novel vulnerabilities in cancer biology.
Develop biomarker strategies and patient-stratification hypotheses to support programs as they progress from nomination through hit-to-lead and lead-optimization.
Maintain a 50% individual contribution (IC) load, performing complex data integration and analysis to solve "killer questions" within the oncology portfolio.
Experience designing high-throughput screens or CRISPR/small-molecule perturbations to validate therapeutic hypotheses.
We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together.
They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.
Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting.
Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation.

Requirements

Experience with two or more oncology areas
strong understanding of patient genetics and historical druggability of disease relevant pathways
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
Ability to distill complex technical concepts into clear and compelling narrative for internal and external-cross functional audiences.
Familiarity with large-scale oncology datasets such as TCGA, CCLE, DepMap, and/or Real-World Data (RWD).

Nice to have

Public Data Mastery: Familiarity with large-scale oncology datasets such as TCGA, CCLE, DepMap, and/or Real-World Data (RWD).
Clinical Translation: Exposure to the requirements for IND-enabling studies or clinical trial biomarker analysis
Employees are expected to work in the office at least 50% of the time.
New York City, Boston, & San Francisco Bay Area(s): $166,980-$220,600
The Values We Hope You Share:
We act boldly with integrity.
We care deeply and engage directly.
Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.

Compensation

Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is:
New York City, Boston, & San Francisco Bay Area(s): $166,980-$220,600
Salt Lake City & all other U.S. locations: $151,800-$200,600
In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

Company info

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace.
We are a computational group that spans precision oncology, I&I (immunology and inflammation), and neuroscience and focuses on advancing novel, targeted therapies for these disease areas.
We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs.
We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio.
Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, immunology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support.
The Experience You'll Need
PhD in a quantitative field (Computational Biology, Bioinformatics, Statistics, Cancer Biology, etc.) with 5+ years of experience in biotech or pharma industry OR MS in a relevant field and 7+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery.
People Management Experience: Proven track record of managing and developing direct reports within a scientific or technical environment.
Oncology Domain Expertise: Deep understanding of cancer biology, including experience with biomarker discovery and patient population stratification.
Experience with two or more oncology areas; strong understanding of patient genetics and historical druggability of disease relevant pathways
Exceptional data visualization skills
Computational Proficiency: Advanced skills in Python or R for the analysis of high-dimensional biological data (e.g., transcriptomics, proteomics, or high-content imaging).
Excellent Cross-Functional Communication: Ability to distill complex technical concepts into clear and compelling narrative for internal and external-cross functional audiences.

Equal opportunity

Recursion is an Equal Opportunity Employer.

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