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. 

#LI-EP1

The Team You’ll Join 

As part of Recursion's Value Tech Tooling Team, you will be at the forefront of reimagining drug discovery from first principles using our massive data capabilities. You'll work in a cross-functional team of world-class computational biologists and engineers who turn complex analyses and data workflows into stable tools and pipelines that multiply their impact and industrialise the discovery process across a wide array of therapeutic areas. You'll partner with biologists, medicinal chemists, engineers, data scientists, ML scientists, and to design experiments, develop new methods, build scalable data workflows, analyse results, and identify common themes across programs. As our toolbox grows and evolves, it will contribute to a revolution in drug discovery to bring life-changing therapeutics to patients at greater speed and with higher quality, safety and efficacy than ever before.

In this role, you will:

• Synthesize, integrate, and analyse diverse internal and external datasets from computational biology, target discovery, functional genomics, biomarker discovery, and real-world and clinically derived data sources, and identify commonalities to turn into reusable tools and pipelines.
• Build, maintain, and improve robust data pipelines and analytical workflows for complex biological datasets, including omics data, internally generated biological assay data, and external data sources such as Tempus and other real-world datasets.
• Develop and apply agentic workflows to integrate and orchestrate analyses across multiple internal and external data sources, accelerating insight generation and supporting scalable decision-making across drug discovery programs.
• Partner with engineers to mature pilot tooling and workflows into stable products and infrastructure that multiply the effectiveness of scientific collaborators pursuing drug programs.
• Present and discuss data, pipelines, and tools with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.
• Collaborate cross-functionally with Recursion’s platform data science, data engineering, and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics and multimodal data into therapeutic programs.

The Experience You’ll Need

• PhD in a relevant field (e.g., computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, computer science, or a related discipline), or equivalent experience, with a track record of applying these skills to fundamental problems in drug discovery.
• Experience applying computational methods (including statistical, probabilistic, and/or machine learning techniques) to analyse complex biological and/or human clinical data.
• Experience building, maintaining, and improving reproducible data pipelines and analytical workflows for large, heterogeneous biological datasets (Python strongly preferred).
• Experience working with high-dimensional biological datasets, including omics data (e.g., single-cell and other genomics-based modalities) and/or other complex assay modalities.
• Experience turning exploratory analyses into reusable tools, workflows, and documentation that can be adopted by other scientists/teams.
• General understanding of drug discovery and translational biology.

Nice To Have

• Experience working on highly collaborative cross-functional teams; ability to clearly explain computational analyses, data workflows, and methodologies to cross-functional and non-technical teams.
• Hands-on experience working with real-world clinical datasets (EHR/claims/registries) and/or generating real-world evidence (cohorting, endpoint definition, observational study considerations).
• Experience with real-world clinical datasets (e.g., EHR-derived oncology datasets) or demonstrated ability to rapidly learn new healthcare data modalities; experience with Tempus or similar datasets is a plus.
• Experience integrating multimodal datasets (e.g., genomics + phenomics, genomics + imaging) in service of translational decisions.
• Experience developing or applying agentic workflows to orchestrate analyses across multiple internal and external data sources, accelerating insight generation and decision-making

Working Location & Compensation:

This is an office-based, hybrid position at our office located in London, England. 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 £86,300 - £115,500. 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 a TechBio company using technology and AI to industrialize drug discovery. ClinTech is the team bringing that same ambition into clinical development, building an integrated platform that spans trial planning, site selection, enrollment forecasting, and real-world evidence to run clinical trials faster and smarter. 

Reporting to the Associate Director, ClinTech Strategy & Operations, this role sits at the heart of that build. You will work closely with Clinical Development Operations and Decision Science, support delivery of the ClinTech roadmap, and help ensure our technology initiatives stay connected to active clinical programs. You will also support how we communicate ClinTech’s progress to senior leadership and external audiences. 

We are looking for someone who is analytically sharp, curious, and energized by working at the intersection of data, technology, and clinical development. This is an opportunity to join a high-visibility team at an exciting stage, where the platform is actively being built and your contributions will have real impact. 

In this role, you will:

• Project manage and track across the ClinTech roadmap: monitor progress, flag blockers, and keep stakeholders informed
• Work closely with Clinical Development Operations and Decision Science to translate priorities into actionable plans, including querying large datasets, surfacing insights, and turning real-world data into clear recommendations
• Help build materials that keep leadership informed: status updates, exec summaries, roadmap documentation
• Contribute to ClinTech vendor assessments, initiative scoping, and build-vs-buy evaluations 
• Support external-facing content and cross-functional forums as needed 

The Team You’ll Join 

You will join ClinTech, one of the most exciting and high-visibility teams at Recursion. We are a small, high-caliber team dedicated to building a platform that directly accelerates how drugs move from discovery to patients. Our culture is fast-paced and mission-driven, focusing on solving genuinely hard problems at the intersection of data, technology, and clinical development.

The Experience You’ll Need

• 3–5 years of experience in a high-bar analytical environment: management consulting, BizOps, or strategy at a fast-moving biotech or tech company
• Strong SQL proficiency: you are comfortable working independently with large, complex datasets
• Proven project management skills: demonstrated ability to manage multiple competing priorities and drive cross-functional workstreams to completion in a past-paced environment
• Clear, concise written communication: you can distill a complex situation into a sharp summary
• Organized and detail-oriented, with the ability to juggle multiple workstreams
• A genuine willingness to learn, adapt, and grow in a fast-moving environment 

Nice to have:

• Experience with real-world data (claims, EHR, or similar)
• Python or R
• Familiarity with LLMs, agentic tooling, or AI-powered workflows
• Exposure to clinical development operations or regulated environments (i.e.GxP)

Working Location & Compensation:

This is an office-based, hybrid position at our 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 $136,200 to $211,100. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

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. 

#LI-EP1

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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#LI-REMOTE

The Impact You’ll Make

At Recursion, we are reimagining drug discovery through a powerful synthesis of AI, automation, and deep scientific expertise. In this role, you will be the bridge between complex chemical data and the strategic systems that power our discovery programs. Your primary focus will be building the tools and infrastructure that support our computational designers and medicinal chemists in making data-driven decisions for the next steps in discovery programs. You will expose analytics that help us further automate the platform by closing the Design-Make-Test-Learn (DMTL) loop to accelerate the design process.

You will have high-level ownership of our analytical ecosystem—including the Spotfire library, data schemas, and automation services—transforming complex datasets into directed platform improvements. You will be at the center of our DMTL loop, creating the tools that empower our scientists to design novel, high-quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives.

In this role, you will:

• Build and maintain integrated project dashboards that serve as a core resource for design teams by syncing assay results with cross-functional portfolio data.
• Code and manage robust repositories for Spotfire automation and BigQuery integration to streamline the flow of data across the discovery lifecycle.
• Design and evolve metrics and predictive modeling workflows that inform "next-best" design recommendations and track project progress through the discovery lifecycle.
• Create automated reporting pipelines to proactively surface critical signals, ensuring project teams can take timely action on new scientific data.
• Collaborate cross-functionally to translate strategic objectives into scalable analytical tools, using adoption metrics to prioritize features that deliver the greatest impact.
• Define and analyze metrics for product success, tool adoption, and scientific impact to ensure teams are focused on critical priorities for accelerating drug discovery.
• Identify and innovate on gaps in analytics maturity, taking responsibility for implementing solutions that modernize how our scientists interact with data.
• Contribute to the development of Agentic AI systems that leverage our data infrastructure to automate and enhance the understanding of Structure-Activity Relationships (SAR).

The Team You’ll Join 

You will be a core member of the Design Workflow team, an interdisciplinary group responsible for the end-to-end development and operation of our molecular design platform. We are the orchestration engine for the Hit-to-Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a “Build & Operate” philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio.

The Experience You’ll Need

• Expert-level proficiency in TIBCO Spotfire development, including experience managing automation services and measuring tool adoption through action logs.
• Advanced engineering foundation in Python, BigQuery, and Prefect, with a track record of maintaining production-level repositories via Git.
• Experience in a major cloud provider (Google Cloud Platform preferred) to support scalable data infrastructure.
• Scientific domain knowledge of the drug discovery lifecycle and the specific data products required to support end-to-end chemist workflows.
• Proven ability to synthesize data from multiple domains—such as lab informatics, chemistry, and portfolio management—into clear, execution-ready recommendations.
• Exceptional systems-thinking and communication skills, with the ability to deconstruct complex scientific workflows and identify key leverage points.
• Practical experience with AI/ML frameworks applied to drug discovery and the development of agentic systems to automate complex scientific reasoning and SAR analysis.
• Degree in a relevant field (Chemistry, Cheminformatics, Engineering, or Computer Science) with significant professional experience in a biotech or pharmaceutical R&D setting.

Working Location & Compensation:

This is an office-based, hybrid role in our London 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 £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

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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