BioSpace
Senior Computational Biologist, Immunology
BioSpace, Salt Lake City, Utah, United States, 84193
Senior Computational Biologist, Immunology
Join to apply for the
Senior Computational Biologist, Immunology
role at
BioSpace .
Your work will change lives, including your own. As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As a senior computational biologist, you will support a partnership portfolio of preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in immunology and inflammation (I&I) diseases, translationally validating disease contexts in hit-to-lead, and accelerating in vivo work in lead optimization.
You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc.) to validate the link between target and disease biology and to propose targets and early programs in novel areas of immunology and inflammation. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: translational validation in hit-to-lead, mechanism-of-action identification/de-risking, and building evidence for patient connectivity to match the medicines we are creating to the patients who need them.
In This Role, You Will
Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional datasets that support clinical development planning
Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
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, biology, medicinal chemistry, and platform teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs
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. 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, oncology) 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
Ph.D. in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation biology, immuno‑oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR M.S. in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in immunology or drug discovery
Experience with one or more immunology or inflammation disease areas;
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
Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and 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
Nice to Have
Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data
Experience efficiently advancing drug programs from proof of concept into clinical development
Experience with immunology and inflammation clinical‑trial biomarker analysis
Working Location & Compensation This is an office‑based, hybrid role in either our
Salt Lake City, UT
or
New York City, NY
offices. Employees are expected to work in the office at least 50% of the time.
At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is
$151,800 to $216,300 (USD) . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
The Values We Hope You Share
We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect – showing up, speaking honestly, and taking action.
We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
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.
We are One Recursion. True cross‑functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.
More About Recursion Recursion (NASDAQ: RXRX) is a clinical‑stage TechBio company leading the space by decoding biology to radically improve lives. We develop and operate a platform that generates one of the world’s largest proprietary biological and chemical datasets and applies machine‑learning algorithms to uncover relationships across biology and chemistry.
Recursion is an Equal‑Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
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Senior Computational Biologist, Immunology
role at
BioSpace .
Your work will change lives, including your own. As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As a senior computational biologist, you will support a partnership portfolio of preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in immunology and inflammation (I&I) diseases, translationally validating disease contexts in hit-to-lead, and accelerating in vivo work in lead optimization.
You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc.) to validate the link between target and disease biology and to propose targets and early programs in novel areas of immunology and inflammation. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: translational validation in hit-to-lead, mechanism-of-action identification/de-risking, and building evidence for patient connectivity to match the medicines we are creating to the patients who need them.
In This Role, You Will
Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional datasets that support clinical development planning
Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic
Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients
Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed
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, biology, medicinal chemistry, and platform teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs
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. 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, oncology) 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
Ph.D. in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation biology, immuno‑oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR M.S. in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in immunology or drug discovery
Experience with one or more immunology or inflammation disease areas;
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
Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and 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
Nice to Have
Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data
Experience efficiently advancing drug programs from proof of concept into clinical development
Experience with immunology and inflammation clinical‑trial biomarker analysis
Working Location & Compensation This is an office‑based, hybrid role in either our
Salt Lake City, UT
or
New York City, NY
offices. Employees are expected to work in the office at least 50% of the time.
At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is
$151,800 to $216,300 (USD) . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
The Values We Hope You Share
We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect – showing up, speaking honestly, and taking action.
We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
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.
We are One Recursion. True cross‑functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.
More About Recursion Recursion (NASDAQ: RXRX) is a clinical‑stage TechBio company leading the space by decoding biology to radically improve lives. We develop and operate a platform that generates one of the world’s largest proprietary biological and chemical datasets and applies machine‑learning algorithms to uncover relationships across biology and chemistry.
Recursion is an Equal‑Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
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