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 lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology therapeutics. You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, and proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies that ensure our medicines reach the right patients.

In this role, you will:

• Lead and Develop: Direct and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, and continuous professional growth.
• Drive Target Discovery: Lead the design and execution of analyses for target nomination and validation, using Recursion’s platform to identify novel vulnerabilities in cancer biology.
• Define Early Patient Population Strategy: Develop biomarker strategies and patient-stratification hypotheses to support programs as they progress from nomination through hit-to-lead and lead-optimization.
• Bridge the Gap: Act as a key "connector," leading your team to pilot innovative analysis methods and collaborating with platform and engineering teams to productionalize and scale these tools for organization-wide impact.
• Execute Hands-On: Maintain a 50% individual contribution (IC) load, performing complex data integration and analysis to solve "killer questions" within the oncology portfolio.
• Collaborate Cross-Functionally: Partner with biologists, medicinal chemists, and clinical leads to build compelling data packages that drive program milestones and investment decisions.
• Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

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, 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
• 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
• 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.

Nice To Have:

• Public Data Mastery: Familiarity with large-scale oncology datasets such as TCGA, CCLE, DepMap, and/or Real-World Data (RWD).
• Experimental Design: Experience designing high-throughput screens or CRISPR/small-molecule perturbations to validate therapeutic hypotheses.
• Clinical Translation: Exposure to the requirements for IND-enabling studies or clinical trial biomarker analysis

Working Location:

This is an office-based, hybrid role in either our Salt Lake City or New York City offices. Employees are expected to work in the office at least 50% of the time.

Working Location & Compensation:

This is an office-based, hybrid role and can be based in either our Salt Lake City or New York City office. 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 $230,000 You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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SENIOR MECHANICAL ENGINEERING MANAGER

ABOUT LVT

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.

• A Top-Tier Growth Company: Named one of the Financial Times’ Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
• Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
• Product & Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

ABOUT THIS ROLE

As the Senior Mechanical Engineering Manager, you will lead the hardware evolution of LVT’s products into new form factors and market segments. You are responsible for the entire mechanical lifecycle: from helping determine product direction, performing rapid R&D, delivering through development stage gates and supporting sustaining efforts. You will lead a high-performing team of engineers to solve complex thermal, structural, and power challenges in extreme environments. This role is a critical bridge between visionary product design and operational excellence, ensuring our "scrappy" innovation scales into world-class reliability.

This role is based in-office out of our Headquarters in American Fork, Utah, although some days will need to be spent with the team and inhouse manufacturing based in Spanish Fork. There will also be approximately 5-10% travel required to our partners overseas facilities.

ROLE RESPONSIBILITIES

• Strategic Leadership: Own the mechanical engineering roadmap, balancing the speed of New Product Introduction (NPI) with the stability of sustaining engineering.
• Team Mentorship: Lead, hire, and develop a multi-disciplinary mechanical engineering team, fostering a culture of high accountability and rapid prototyping.
• Design for Excellence (DfX): Oversee the design of camera and sensor products, ensuring they meet strict standards for manufacturability, reliability,cost, and field serviceability.
• Lifecycle Management: Direct the transition of products from prototype to mass production, working closely with Product, Program Management, Supply chain and manufacturing partners.
• Thermal & Structural Integrity: Validate hardware performance through rigorous simulation and physical testing to survive diverse, off-grid environmental conditions.
• Continuous Improvement: Analyze field failure data to drive iterative design improvements, increasing the MTBF (Mean Time Between Failure) for our global fleet.
• Vendor Management: Manage relationships with fabricators and component suppliers to ensure technical specifications and lead times align with LVT’s growth targets.

OUR IDEAL CANDIDATE

• Proven Leadership: 10+ years of mechanical engineering experience, with at least 3+ years in a formal people-management or lead role.
• Full-Lifecycle Expertise: Demonstrated success taking complex hardware products from a "napkin sketch" through high-volume production.
• Technical Depth: Expert-level proficiency in 3D CAD (Creo preferred) and a strong grasp of FEA, thermal analysis, and electronics. 
• Ruggedized Design Experience: Background in designing electric-mechanical products with connectivity, audio, thermal, optical,  and power challenges.
• NPI Expert: Deep understanding of manufacturing processes (sheet metal, injection molding, CNC, etc.) and global supply chain dynamics.
• Analytical Mindset: You make decisions based on data, whether it’s stress-test results or manufacturing cost-of-goods-sold (COGS) analysis.
• Communication Style: Ability to translate complex engineering hurdles into clear business risks and opportunities for executive leadership.
• Education: B.S. or M.S. in Mechanical Engineering or a related technical field.

BENEFITS

We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Make your impact within a rapidly growing Fintech Company

We are seeking an experienced Revenue Accounting Manager to join our revenue accounting team. This role is critical in ensuring accurate and compliant financial reporting related to our revenue streams. The ideal candidate will have a strong background in accounting principles, specifically ASC 606, experience with revenue accounting and accounts receivable, and a proven track record of managing complex reconciliations and processes.

This position requires extensive cross-functional partnership with teams across the organization, including Sales Operations, Sales, Business Development, Deal Desk, Customer Success, Legal, FP&A, Data/Analytics, Revenue Operations, Product, Engineering, Finance System, Treasury, and Operations, to ensure accurate reporting and drive process improvements.

• Contract Customer Billing

• Own end‑to‑end billing for a portfolio of contract and strategic partners, ensuring timely, accurate, and complete invoices in accordance with commercial terms and BILL policies.
• Review customer contracts, order forms, amendments, and pricing schedules to determine appropriate billing cadence, milestones, and one‑time vs recurring fees.
• Partner with Sales Ops, Business Development, engineering, finance system, and Legal to ensure contract structures and billing mechanics align with revenue recognition and AR requirements.
• Partner with Sales Ops, Customer Success and deal desk teams to address customer requests. 

• Collections & Receivables Management

• Manage A/R aging, lead collection efforts on past‑due balances, and reduce DSO and write‑offs while maintaining a strong customer experience.
• Collaborate with Customer Success, and Sales to resolve short‑pays, disputes, and unapplied cash, including recommending payment plans or settlements within policy.
• Manage allowance and bad debt assessments for higher‑risk accounts, ensuring supporting documentation is complete and audit‑ready.

• Accounts Receivable & Revenue Reconciliations

• Review monthly and quarterly reconciliations for AR, unbilled revenue, deferred revenue, contract assets/liabilities, and other revenue‑related accounts, resolving variances independently as a senior revenue accountant level.
• Build and maintain roll‑forward schedules and supporting analyses that connect operational drivers (volumes, rates, tiers) to GAAP balances and period‑over‑period movements.
• Design and improve reconciliation processes and controls to support SOX compliance, scalability, and automation.
• Propose process improvements to reduce time spent on complex manual processes

• Revenue Reporting & Cross‑Functional Analytics

• Partner with FP&A, Data/Analytics, Revenue Operations, and Product to design, modify, and maintain revenue and billing reports that support forecasting, performance metrics, and investor/management reporting.
• Investigate discrepancies in reported counts, rates, or amounts (e.g., usage, volume tiers, revenue share), and resolve issues with internal and external stakeholders.
• Provide revenue and AR insights (trends by product, partner, segment, and cohort) and act as a thought partner to stakeholders, translating complex accounting into clear, decision‑ready narratives.
• Partner with Finance transformation team to design and perform UATs for new products or existing products reporting enhancements. 

• Close & Compliance

• Independently own recurring month‑end and quarter‑end close tasks for assigned revenue and AR areas, including preparation and review of complex journal entries, reconciliations, and analyses.
• Propose and prepare one‑time/non‑recurring journal entries for complex issues (e.g., contract amendments, corrections, new products, manual true‑ups) with minimal guidance.
• Ensure processes and workpapers are fully SOX‑compliant, operate controls as designed, and identify control or process gaps with proposed remediation plans.
• Support internal and external audits, including providing reconciliations, documentation, and process walkthroughs for revenue and AR areas.
• Support monthly and quarterly financial statements reporting flux analysis and ad hoc analysis

We’d love to chat if you have:

• Bachelor's degree in accounting or finance. CPA or equivalent is preferred.
• Minimum of 5 years of experience in accounting
• Strong knowledge of GAAP, especially related toASC606.
• Excellent analytical, problem-solving, and decision-making skills
• Effective communication skills, both written and verbal, with the ability to interact with senior management and cross-functional teams
• Track record of building out new processes.
• Experience with NetSuite is a plus
• Proficient with Excel and experience with data analytical tools such as Tableau or Alteryx is a plus
• Must be a self-starter and deadline-driven to work in a fast-paced environment within tight deadlines
• Have the ability to think outside the box, work independently with general supervision, be a team player, and willing to contribute beyond the defined role to meet business needs as circumstances require

Visa Sponsorship:  Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

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: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking, and 3) 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 New York City 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 $200,600 to $253,100. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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The Impact You’ll Make

We are seeking a strategic and scientifically fluent Patent Counsel with deep expertise in chemistry to shape and lead the intellectual property strategy behind our chemistry platform and therapeutic programs. This is a highly cross-functional role for someone who sees themselves as a business partner first — and a lawyer second.

You will operate at the intersection of chemistry, AI-driven drug discovery, and IP strategy, partnering closely with chemists, computational scientists, development teams, and business development leaders to translate complex science into forward-looking, globally aligned IP strategy. You will help ensure our innovations are protected in ways that enable clinical progress, competitive differentiation, and long-term impact.

If you’re passionate about biotech, energized by the convergence of AI and chemistry, and motivated to embed deeply with the business, we’d love to meet you.

In this role, you will:

• Develop and execute IP strategies for chemistry programs and platform innovations across our portfolio 
• Evaluate program maturity and recommend appropriate patent filing, prosecution, and protection strategies
• Conduct and oversee FTO analyses and advise on risk mitigation, while helping guide our global filing strategy and coordinate international prosecution
• Support IND-related IP considerations and life-cycle planning
• Occasionally draft or substantively contribute to patent applications (approximately once or twice per quarter)
• Ensure filings align with broader business and clinical strategy

The Team You’ll Join 

You’ll join a collaborative and mission-driven Legal team that partners closely with our scientific and business organizations. As the primary chemistry-focused IP leader, you’ll serve as a trusted scientific domain expert within Legal, working independently while deeply integrated with R&D and Business Development.

Our culture values curiosity, humility, high EQ, and low ego. We operate with low friction and high trust — empowering teammates to lead from their expertise while staying closely connected to the broader mission.

The Experience You’ll Need

• Minimum 7+ years of relevant IP experience with a mix of law firm and in-house experience
• Strong background in chemistry, biochemistry, or related field (PhD preferred; Master’s or Bachelor’s with deep industry experience considered)
• Experience supporting clinical-stage assets, pharmaceutical, or biotechnology programs
• Experience in patent prosecution (strongly preferred foundation), with exposure to litigation and/or transactional IP matters
• Demonstrated ability to work independently as a scientific subject matter expert

Nice to Haves:

• Experience supporting small molecule drug discovery programs
• Exposure to AI-enabled or computational drug discovery environments
• Experience with licensing (in-licensing/out-licensing), BD diligence, and alliance support
• Familiarity with global patent strategy across US/EU/UK and other key jurisdictions

Working Location & Compensation:

Making SLC or NYC your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. 

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 $281,600 to $387,200 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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#LI-REMOTE

The Impact You’ll Make

As a computational biology specialist on our Target ID team, you will be at the forefront of transitioning Recursion to its next era of drug discovery. You will serve as a critical biological anchor for a highly technical data science team building the next generation of our target discovery pipelines.

The team’s mission is to identify novel therapeutic targets at scale across the genome for hundreds of indications. You will have access to all of Recursion's data layers—including massive internal maps, functional genomics, and rich patient data (transcriptomics, genetics, and Real-World Data/EHR)—and will be tasked with proposing, piloting, and deploying new methods to integrate these datasets.

Crucially, you will leverage your biological subject matter expertise to orient and focus your data scientist and software engineer peers towards reliable and correct usage of biological data and feasible candidate programs. As we build out semi-automated and agentic tools (e.g., multi-agent LLM systems for portfolio oversight and target assessment), your deep real-world biology experience will guide the development of these tools, ensuring they are grounded in biological reality and translate to meaningful portfolio and patient impact.

The ideal candidate is a computational biology specialist with high fluency in data science tech stacks. You know how to build and evaluate predictive models and build agentic pipelines, and your differentiator is your deep understanding of patient-relevant datasets, disease biology, and target discovery.

In this role, you will:

• Discover & Evaluate: Propose and validate novel targets using deep integration of patient data (transcriptomics, population genetics, EHR, etc) and Recursion's internal multi-omic data layers.
• Guide & Automate: Collaborate closely with data scientists to build, refine, and guide semi-automated and agentic target discovery tools. You will ensure these tools are biologically sound and can scale to evaluate hypotheses across many indications spanning a wide range of therapeutic areas.
• Triangulate: Use advanced statistical methods (e.g., causal inference, survival modeling) to establish confident target-to-patient connections and define specific addressable patient populations for early pipeline programs.
• Bridge the Gap: Translate complex platform findings into disease-relevant applications, bridging the gap between high-dimensional data science output and actionable drug discovery insights.
• Present & Influence: Communicate complex biological rationale and data analyses to decision-makers and cross-functional stakeholders, driving data-backed "go/no-go" decisions in a two-stage target approval process.

The Team You’ll Join

Our group is a bold, agile, diverse collective of data scientists and computational biologists driving Recursion’s early portfolio strategy. We are focused on aggressively expanding our early-stage pipeline with highly validated, novel therapeutic targets. To achieve this, we prioritize defining specific patient populations and establishing clear, data-backed translational paths from day one of every new program.

Because this team is dominated by experts in traditional data science, AI/ML, and software engineering, your role is absolutely critical. You will provide the essential biological experience and subject matter expertise to improve and accelerate the work of your peers. Essential attributes for this role include a bold, execution-first attitude, high technical fluency to collaborate seamlessly on data-science-heavy codebases, and a passion for deploying rigorous science to develop life-changing medicines.

The Experience You’ll Need

• PhD in Computational Biology, Bioinformatics, Human Genetics, Systems Biology, or a closely related field with 3+ years of experience in the biotech or pharma industry OR MS in a relevant field and 5+ years of industry experience focusing on target ID or early drug discovery.
• Biological SME: Deep, real-world experience in target discovery, functional genomics, and understanding the druggability of disease-relevant pathways.
• Data Science Fluency: Highly proficient in Python and/or R, with a strong ability to seamlessly integrate into a data-science-heavy tech stack. Comfortable with modern software engineering practices, cloud computing, and machine learning concepts.
• Patient Data Expertise: Extensive experience working with "discovery-related" human data, particularly transcriptomics (bulk/single-cell), patient genetics/GWAS, and clinical/real-world data (e.g., EHR).
• Analytical Rigor: Experience applying advanced computational and statistical methods to establish biological causality (e.g., survival analysis, causal inference modeling).
• Excellent cross-functional communication skills, with a proven track record of upskilling peers in biological concepts and guiding technical teams toward translatable biological outcomes.

Nice To Have:

• Experience working with, prompting, or integrating Large Language Models (LLMs) and autonomous agentic workflows into scientific research.
• Familiarity with building or utilizing Knowledge Graphs for target identification.
• Experience working in the field of oncology or immunology.

Working Location & Compensation:

This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah. 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 $230,000. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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The Impact You’ll Make: 

Recursion is currently seeking a seasoned leader to join our team as Vice President, Real World Experience. This role will lead RWE generation across the Recursion portfolio. The role will be responsible for building a world-class team of statisticians, pharmacoepidemiologists, and statistical programmers. This VP and their team will partner closely with the biometrics team, clinical development, and other internal stakeholders. The role will involve, but will not be limited to, supporting study planning, generating natural history data to contextualize rare disease trials, contributing to health authority interactions, supporting value demonstration for submission to HTA bodies, and other evidence-generation needs. 

We are looking for someone who is innovative and can build systems, programs, and teams from the ground up. 

In this role, you will: 

• Build, develop, and lead our RWE team
• Participate in governance meetings and provide strategic and scientific input
• Build a roadmap for real-world data licensing and prioritization 
• Strategic and scientific contribution to interventional study design and planning
• Conduct externally controlled studies where appropriate and relevant
• Natural history data generation to support study planning and contextualize observed efficacy in rare disease programs
• Support external stakeholder engagement, such as regulatory agencies and HTAs 
• Build academic partnerships 

The Experience You’ll Need: 

• 12+ years of relevant experience in biotechnology or pharmaceuticals 
• Strong background in causal inference in non-randomized settings 
• Strong background in machine learning
• Familiarity with at least one statistical programming language such as SAS, R, Python, or others. 
• Knowledge of the regulatory landscape for rare diseases and oncology. 
• Knowledge of regulatory guidance on the use of RWE.
• Knowledge of the global reimbursement landscape and the use of RWE for reimbursement  support
• Bonus points for familiarity with CDISC standards 
• Strong written and oral communication skills 
• Ability to travel as needed to our various office locations; up to 25%
• Bachelor’s in a quantitative field; Masters or PhD in a quantitative field preferred

Working Location & Compensation:

This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah, or our office in New York City, New York. 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 $319,000 to $437,800 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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