Senior Scientist, Computational Biology - London
London, England, United Kingdom
Your work will change lives. Including your own. The Impact You’ll Make
As a key member of Recursion's portfolio-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. You will be the
primary computational lead
for multiple preclinical or clinical-stage drug programs and can expect the freedom to collaboratively define and execute a research strategy that brings promising discoveries from hit-identification through clinical development.
You will be responsible for the
evaluation of therapeutic hypotheses using internal and external data sources to validate the link between proposed targets and disease biology, guide multimodal SAR, decipher drug mechanism of action, and identify candidate biomarkers to measure in translational and clinical studies.
You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection and indication expansion that match the medicines we are creating to the patients who need them.
In this role, you will:
Design
experiments, 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
Architect
quantitative analyses and experiment cascades that collect and combine diverse datasets to inform statistically-sound decisions at scale
Deliver
biological insights on therapeutic candidates and disease biology that support stage gate decisions from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets
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
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. You will collaborate extensively with scientists across the organization to advance milestones, provide insights and drive decisions that further advance Recursion’s capabilities and likelihood of success in the clinic. Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines.
The Experience You’ll Need
PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer/cell biology, etc.) with a very strong computational focus and
3+ years of experience in biotech or pharma industry
solving fundamental problems in oncology or drug discovery OR MS in a relevant field and
5+ 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 complex biological and/or human clinical data in a high level programming language such as Python or R
Experience in efficiently advancing drug programs from hit nomination through proof of concept and into clinical development (or some stages within this range)
Expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics)
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:
Experience analyzing data from imaging-based modalities
Experience evaluating and prioritizing compounds during SAR and lead optimization cycles
Experience with IND applications
Working Location:
This position is ideally based at one of our offices located in
London / New York City / Toronto / Salt Lake City . Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.
The Values That We Hope You Share:
We Care:
We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
We Learn:
Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
We Deliver:
We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
Act Boldly with Integrity:
No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
We are One Recursion:
We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team.
More About Recursion
Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias.
Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on LinkedIn.
Recursion is an Equal Opportunity Employer that values diversity and inclusion. #J-18808-Ljbffr
Your work will change lives. Including your own. The Impact You’ll Make
As a key member of Recursion's portfolio-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. You will be the
primary computational lead
for multiple preclinical or clinical-stage drug programs and can expect the freedom to collaboratively define and execute a research strategy that brings promising discoveries from hit-identification through clinical development.
You will be responsible for the
evaluation of therapeutic hypotheses using internal and external data sources to validate the link between proposed targets and disease biology, guide multimodal SAR, decipher drug mechanism of action, and identify candidate biomarkers to measure in translational and clinical studies.
You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to patient selection and indication expansion that match the medicines we are creating to the patients who need them.
In this role, you will:
Design
experiments, 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
Architect
quantitative analyses and experiment cascades that collect and combine diverse datasets to inform statistically-sound decisions at scale
Deliver
biological insights on therapeutic candidates and disease biology that support stage gate decisions from the analysis of high dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets
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
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. You will collaborate extensively with scientists across the organization to advance milestones, provide insights and drive decisions that further advance Recursion’s capabilities and likelihood of success in the clinic. Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines.
The Experience You’ll Need
PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer/cell biology, etc.) with a very strong computational focus and
3+ years of experience in biotech or pharma industry
solving fundamental problems in oncology or drug discovery OR MS in a relevant field and
5+ 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 complex biological and/or human clinical data in a high level programming language such as Python or R
Experience in efficiently advancing drug programs from hit nomination through proof of concept and into clinical development (or some stages within this range)
Expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics)
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:
Experience analyzing data from imaging-based modalities
Experience evaluating and prioritizing compounds during SAR and lead optimization cycles
Experience with IND applications
Working Location:
This position is ideally based at one of our offices located in
London / New York City / Toronto / Salt Lake City . Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.
The Values That We Hope You Share:
We Care:
We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
We Learn:
Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
We Deliver:
We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
Act Boldly with Integrity:
No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
We are One Recursion:
We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team.
More About Recursion
Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias.
Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on LinkedIn.
Recursion is an Equal Opportunity Employer that values diversity and inclusion. #J-18808-Ljbffr
