Who We're Looking For - Senior Data Engineer

As a Senior Data Engineer you will be responsible for developing software solutions that support the Data Platform, Analytics, and Digital Transformation initiatives at Clearlink through a multi-disciplinary approach including elements of Software Development, applied Data Science, and Big Data. Additionally, the Senior Data Engineer is responsible for developing and maintaining Big Data pipelines that provide enterprise access to company data and guides more junior team members.

The Impact You Will Make

• Adheres to Clearlink policies on ethics and integrity.
• Under minimal supervision, develops software applications in varied and challenging technical domains and takes ownership over multiple assigned projects on a technical level; programming specializations include real time streaming, Web-based user interfaces, data visualization, PCI security, cloud services, multi-media, Artificial Intelligence, and Machine Learning.
• Leverages Data Science tools and techniques to provide business insights from large, unstructured datasets.
• Assembles and analyzes large, complex datasets that meet business requirements.
• Builds the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using relational, document, graph, and data lake technologies.
• Models problem domains in relational, document, and graph technologies as required.
• Creates data tools for analytics and data scientist team members.
• Works with architects/software development and UX teams to develop processes and applications.
• Creates, evaluates, and deploys machine learning models to provide real-time predictions to improve business processes.
• Creates programming modules and performs software development tasks (design, development, testing, maintenance) as part of a development team.
• Creates websites, web-based dashboards, and data visualizations that enhance the organization’s ability to understand data and make decisions.
• Builds analytics tools that interface to a data pipeline to provide actionable insights into key business performance metrics.
• Creates scripts, jobs, monitors, and interfaces to facilitate deployment and productization of applications and solutions.
• Implements internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Creates functional and technical documentation including dashboard design specifications, operating manuals, release notes, and security requirements for reports created and maintained.
• Performs quality assurance testing of User Interfaces, Application interfaces, code and processes.
• Analyzes, troubleshoots, and solves development and production software

What You Bring

• MINIMUM Education Requirement: Master's degree in Computer Science, MIS, Information Systems, Engineering (any), or related field.
• MINIMUM Experience Requirement: Three (3) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• ALTERNATE Education/Experience Requirement: Bachelor's degree in Computer Science, MIS, Information Systems, Engineering (any), related field, and five (5) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• ALTERNATE Requirement: Seven (7) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• Big Data, Machine Learning, AI, and Analytical Technologies.
• Enterprise and web-based software development and experience creating and deploying enterprise applications.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets.
• Experience with Object Oriented/Programmatic ETL/Data Integration Workflow Management Services
• Experience in fintech related work (managing and building out comprehensive finance kpis, financial data pipelines, applying financials to operational / transactional events and financial data sets)
• Experience in web development technologies including in one or more of the following: HTML, JavaScript, jQuery, or GraphQL
• SQL
• Experience in one or more web application platforms (e.g., Flask, ASP).
• Experience in Application development in one or more of the following: Python, R, C#, java, JavaScript, Golang.
• Solving problems using Analytical and Data Science methods: modeling, clustering, Machine Learning, AI, and others.
• Application and Data Security.
• Experience with cloud services: Data Lake, Enterprise Queues, Machine Learning, AI, DevOps, etc.
• Streaming Technologies.
• Experience with relational SQL, NoSQL, and Graph databases such as Neo4j, Document DB, and
  others.

Perks That Set Us Apart

• 🩺 Healthcare: We offer low-cost, competitive health coverage (domestic partners included!) with employer-paid counseling services.
• 💰 Invest in the Future: Enjoy 401(k) matching after just two months of employment, with employer matching starting at ~3%.
• 🧘‍♀️ Lifestyle Spending Stipends: Access an employer-paid spending account for physical, financial, and emotional wellbeing expenses.
• 🏝️ Flexible Time Off: We offer competitive time-off balances that accrue weekly, just like your paycheck. (Yes, we’re paid weekly too!)
• 👶🏻 Parental Leave: We provide 2 weeks of paid parental leave during the first year and up to 9 weeks after one year of employment.
• ✈️ Generous Paid Holidays: Celebrate cultural diversity with additional flex holidays in addition to our company paid holidays.
• 🧑‍💻 Flex Schedule: This is a hybrid role. Expect in-office collaboration on Tuesdays and Thursdays, with Wednesdays designated as a flex day based on team and manager needs. Remaining workdays are remote, depending on role requirements.
• 🛟 Comprehensive Life Insurance: Ensure peace of mind with coverage that extends beyond the workplace with employer paid life insurance (including coverage for dependents and spouses).
• 🤝 Employee Resource Groups (ERGs): Join us in fostering connections, celebrating diversity, and providing a supportive community for all.

At Clearlink, we go beyond the basics, ensuring your experience with us is not just professionally fulfilling but personally enriching too.

Interviewing at Clearlink

We know interviews can be stressful. Here are some stages you can expect from a typical interview with Clearlink. 

• Once your application is submitted, we will review it and be in touch
• 30-min phone call with the Recruiting Team
• 30-min - 1 hour interview with the Hiring Manager
• 30-min - 1 hour interview with a Clearlink Panel

Some interview processes can vary, depending on the role. Your recruiter will give you a role-specific interview process during your first phone call.

#LI-SW1
#LI-Hybrid

The Impact You'll Make

Recursion is at the forefront of reimagining drug discovery by integrating technological innovations across biology, chemistry, automation, data science, and engineering to radically improve lives by industrializing drug discovery. We are seeking an experienced Associate Director to join our Discovery Biology team to lead and advance our AI-driven portfolio of therapeutic candidates.  

This is a truly unique opportunity to work at the dynamic intersection of technology and biology. You won't just manage projects and key initiatives; you will be an active catalyst contributing to the evolution of a new, powerful paradigm in medicine.

In this Role, You Will:

• Play a critical role in defining and executing our oncology strategy, seamlessly integrating traditional drug discovery principles with cutting-edge in silico computational approaches. 
• Lead scientific initiatives focused on successfully delivering various small molecule programs from initial hit to candidate selection and IND submission. 
• Contribute to novel target insight generation, patient refinement and patient selection strategies within several early discovery programs and have the opportunity to improve the Recursion OS itself. 

The Team You'll Join

You will be an integral part of the Discovery team, working collaboratively with a diverse group of life scientists, computational and technical experts. You will work cross-functionally with team members from various disciplines, including data science, computational biology, pharmacology, DMPK, and chemistry, to accelerate the progression of compounds through the portfolio. This team is responsible for guiding the foundational biology and the critical "tech-to-program" translation across our early Discovery oncology portfolio. 

The Experience You'll Need

• PhD in a relevant biological science discipline (e.g., Molecular Biology, Oncology, Pharmacology, Biochemistry, Computational Biology) with at least 7+ years of experience in Tech-forward Biotech or Pharma 
• A proven track record of accomplishments in drug discovery, with specific experience in operating as a Scientific Team Lead for oncology and/or immuno-oncology programs from early discovery to a clinical candidate stage
• Demonstrated experience with modern drug discovery approaches, including familiarity with AI/ML-driven platforms and models, high-throughput screening, ‘omics data analysis, with a systems biology mindset.
• Strong understanding of the oncology landscape, including key therapeutic modalities, emerging targets, and clinical development challenges.
• Exceptional leadership and interpersonal skills, with the ability to lead and motivate high-performing, cross-functional teams in a fast-paced, matrix environment.
• Demonstrated ability to deliver impactful, clear presentations and memos to a wide range of audiences, including the Executive Leadership Team (ELT), program teams, Key Opinion Leaders (KOLs), and external partners.A strategic and tactical thinker who can prioritize competing demands and solve complex problems with a solution-focused mindset.

Working Location:

This is an office-based, hybrid role in our Salt Lake City / 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 $198,000 - $271,700 (USD). 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 at the forefront of reimagining drug discovery by integrating technological innovations across biology, chemistry, automation, data science, and engineering to radically improve lives by industrializing drug discovery. We are seeking an experienced Associate Director to join our Discovery Biology team to lead and advance our AI-driven portfolio of therapeutic candidates.  

This is a truly unique opportunity to work at the dynamic intersection of technology and biology. You won't just manage projects and key initiatives; you will be an active catalyst contributing to the evolution of a new, powerful paradigm in medicine.

In this Role, You Will:

• Play a critical role in defining and executing our oncology strategy, seamlessly integrating traditional drug discovery principles with cutting-edge in silico computational approaches. 
• Lead scientific initiatives focused on successfully delivering various small molecule programs from initial hit to candidate selection and IND submission. 
• Contribute to novel target insight generation, patient refinement and patient selection strategies within several early discovery programs and have the opportunity to improve the Recursion OS itself. 

The Team You'll Join

You will be an integral part of the Discovery team, working collaboratively with a diverse group of life scientists, computational and technical experts. You will work cross-functionally with team members from various disciplines, including data science, computational biology, pharmacology, DMPK, and chemistry, to accelerate the progression of compounds through the portfolio. This team is responsible for guiding the foundational biology and the critical "tech-to-program" translation across our early Discovery oncology portfolio. 

The Experience You'll Need

• PhD in a relevant biological science discipline (e.g., Molecular Biology, Oncology, Pharmacology, Biochemistry, Computational Biology) with at least 7+ years of experience in Tech-forward Biotech or Pharma 
• A proven track record of accomplishments in drug discovery, with specific experience in operating as a Scientific Team Lead for oncology and/or immuno-oncology programs from early discovery to a clinical candidate stage
• Demonstrated experience with modern drug discovery approaches, including familiarity with AI/ML-driven platforms and models, high-throughput screening, ‘omics data analysis, with a systems biology mindset.
• Strong understanding of the oncology landscape, including key therapeutic modalities, emerging targets, and clinical development challenges.
• Exceptional leadership and interpersonal skills, with the ability to lead and motivate high-performing, cross-functional teams in a fast-paced, matrix environment.
• Demonstrated ability to deliver impactful, clear presentations and memos to a wide range of audiences, including the Executive Leadership Team (ELT), program teams, Key Opinion Leaders (KOLs), and external partners.A strategic and tactical thinker who can prioritize competing demands and solve complex problems with a solution-focused mindset.

Working Location:

This is an office-based, hybrid role in our Salt Lake City / 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 $198,000 - $271,700 (USD). 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

Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts—especially our own employees! And as winners of Glassdoor’s Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk.

Summary

Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science function. The Data Operations group is responsible for delivering business insights and high-impact analyses to the various business units within Awardco.  Within this group, the Lead Data Scientist will address strategic and operational questions facing our global business, including customer behavior, performance measurement, and product and marketing efficiency. This individual will partner with different business units to meet their analytic needs and conduct extensive analyses of Awardco’s data, generate insights, and communicate those insights to the business.

The Lead Data Scientist role is data and analytically intensive. Successful candidates will offer deep analytical capabilities and will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

What You Will Do

Responsibilities

• This position will enable data-driven business decisions by performing business and data analyses using a variety of techniques, ranging from simple data aggregation to complex statistical analysis.
• Develop custom data models and algorithms to apply to data sets.
• Churn and pipeline analysis
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Evaluate risk.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Create presentations, visualizations, and reports and present findings to executive-level management.
• Provide analysis and information supporting various campaigns, events, and initiatives, summarize key findings and trends, produce data sheets, graphics, and presentations.
• This individual will also be responsible for mentoring peers in analyst positions, providing analytical support, and having expertise in statistical concepts and methods.
• Forecast various data elements, such as sales and enrollments.

What You Will Bring

Qualifications

• The ability to analyze, model, and interpret data
• 8+ years of experience in analytics and quantitative techniques.
• Critical thinking
• Creativity
• Written and verbal communication skills
• A drive to learn and master new technologies and techniques.

Additional Qualifications

• Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Advanced experience analyzing data from 3rd party providers such as Google Analytics or Qualtrics.
• Advanced knowledge of, and experience with, a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 
• Advanced SQL skills 
• Experience visualizing/presenting data for executive-level management

Why Awardco:

• We have a revolutionary, client-approved product.
• One of the fastest growing companies in the nation: 3x Inc. 500, 2x Deloitte Technology Fast 500, 2x Mountain West Capital Network Fast 100, 3x Fast 50 (Utah Business), and 3x UV50 Fastest Growing Companies (BusinessQ), to name just a few.
• Great Place to Work certified, ranked in Inc. Best Workplaces, one of the Best and Brightest companies to work for, and ranked on the Salt Lake Tribune's Top Workplaces.
• Backed by renowned investors, both local and national.