At a Glance
- Tasks: Transform drug discovery using massive data and cutting-edge computational techniques.
- Company: Join Recursion, a pioneering TechBio company dedicated to improving lives through innovative science.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Why this job: Make a real impact in neuroscience and help bring life-changing therapies to patients.
- Qualifications: PhD or MS in relevant field with strong computational skills and experience in biotech.
- Other info: Collaborative team environment with opportunities for growth and innovation.
The predicted salary is between 86000 - 115500 £ per year.
Your work will change lives. Including your own.
The Impact You’ll Make
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 senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases.
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 neuroscience. 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
- build evidence for patient connectivity to match the targets we are validating and 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 (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning.
- Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic.
- Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification.
- 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 and data 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, neuroscience, and I&I (immunology and inflammation), 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 (immunology, oncology, 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 relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field.
- 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/or human clinical 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.
Nice To Have:
- Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data.
- Experience in efficiently advancing drug programs from proof of concept and into clinical development.
- Experience with neuroscience clinical trial biomarker analysis.
- Experience working as part of partnerships or client facing (consulting) teams.
Working Location & Compensation:
This is an office-based, hybrid role in either our Salt Lake City or London 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 $200,600 for US-based candidates
- £86,300 to £115,500 for UK-based candidates
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 care deeply and engage directly.
- We learn actively and adapt rapidly.
- We move with urgency because patients are waiting.
- We take ownership and accountability.
- We are One Recursion.
More About Recursion
Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate 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. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
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 Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area.
Staff Computational Biologist, Neuroscience employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Computational Biologist, Neuroscience
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with Recursion employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by diving deep into neuroscience and computational biology topics. Brush up on your data analysis skills and be ready to discuss how you can contribute to Recursion's mission of changing lives.
✨Tip Number 3
Showcase your passion for drug discovery! During interviews, share your insights on how you would approach target nomination and validation. Let them see your enthusiasm for making an impact in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Recursion team.
We think you need these skills to ace Staff Computational Biologist, Neuroscience
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Computational Biologist role. Highlight your relevant experience in computational biology, especially in neuroscience, and showcase how your skills align with our mission at Recursion.
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples of how you've applied computational methods or integrated complex datasets in your previous roles. This will help us see the impact you can make.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We want to understand your experience and ideas without getting lost in technical terms.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Menlo Ventures
✨Know Your Data Inside Out
As a computational biologist, you'll be dealing with complex datasets. Make sure you understand the nuances of phenomics, transcriptomics, and proteomics. Prepare to discuss how you've used these data types in past projects and be ready to explain your analytical methods clearly.
✨Showcase Your Collaboration Skills
This role requires working closely with biologists and chemists. Be prepared to share examples of how you've successfully collaborated across disciplines. Highlight any experiences where your communication skills helped bridge gaps between technical and non-technical teams.
✨Prepare for Technical Questions
Expect questions that dive deep into your computational methods and programming skills, especially in Python or R. Brush up on your knowledge of machine learning techniques and be ready to discuss how you've applied them to real-world problems in drug discovery.
✨Align with Company Values
Recursion values integrity, urgency, and collaboration. Familiarise yourself with these values and think of examples from your experience that demonstrate how you embody them. Showing that you resonate with their mission can set you apart from other candidates.