RefinedScience Logo

RefinedScience

Bioinformatics Intern

Posted 8 Hours Ago
Remote
34-38
Internship
Remote
34-38
Internship
The Bioinformatics Intern will analyze data, develop workflows, and collaborate on projects using advanced analytics to support precision medicine initiatives.
The summary above was generated by AI

**Candidates must be authorized to work in the U.S. without the need for current or future visa sponsorship.

At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease.   

WHAT WE ARE LOOKING FOR

We are seeking a highly motivated Bioinformatics Intern to join our team. This internship is ideal for graduate students (Master’s or Ph.D.) passionate about applying computational methods to solve complex biological and healthcare challenges. You will have the opportunity to contribute to projects involving genomics and single cell multiomics data, leveraging advanced analytics and machine learning to drive meaningful scientific insights.

Our Bioinformatics team plays a crucial role in integrating computational biology, large-scale data analysis, and machine learning to drive discoveries in precision medicine, genomics, and drug development.

POTENTIAL ACTIVITES

  • Analyze large-scale single cell multiomics datasets (CITE-seq) to generate insights into disease mechanisms.
  • Work on machine learning and statistical approaches to support biomarker discovery and precision medicine initiatives.
  • Develop and optimize bioinformatics workflows and pipelines for high-throughput data processing, quality control, and analysis.
  • Develop novel visualizations to support interactive exploration of high dimensional single cell multiomics datasets.
  • Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects.
  • Present findings through technical reports, visualizations, and presentations to cross-functional teams.


MUST HAVES

  • Master’s or Ph.D. candidate in Bioinformatics, Computational Biology, Genomics, Data Science, or a related field.
  • Experience using R or Python programming languages for computational biology research.
  • Experience analyzing high throughput sequencing data and single cell RNA-seq data.
  • Familiarity with processing and analyzing data within a cloud or HPC computing environment.
  • Basic understanding of cancer biology, genomics, or related relevant biological fields.
  • Demonstrated ability to conduct reproducible computational biology research, as evidenced by Github repositories and/or scientific publications.
  • Strong problem-solving skills and ability to communicate complex insights effectively.

Duration:  8 – 10 Weeks (40 hours per week)

Location:  Remote or Hybrid. Candidate will be expected to travel to our headquarters (Aurora, CO) at least once during the internship.

WHY YOU’LL LOVE REFINED SCIENCE 

Team + Values

At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights.  We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage.

Our Values

  • Act with Purpose – We believe in rigor through deliberate and thoughtful actions
  • Be Curious – Curiosity is the spark that ignites innovation and growth
  • Take Ownership – True ownership leads to pride and commitment in the work we do
  • Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success
  • Embrace Agility – We celebrate agile thinking, resilience, and adaptability

Compensation

  • $34-$38 per hour


Top Skills

Cloud Computing
Hpc Computing
Python
R

RefinedScience Aurora, Colorado, USA Office

Aurora, Colorado, United States

Similar Jobs

2 Hours Ago
Remote
USA
150K-180K
Senior level
150K-180K
Senior level
Marketing Tech • Real Estate • Software • PropTech • SEO
The Sr. Data Analyst will provide actionable insights to stakeholders, optimize strategies using data, support predictive modeling, and manage KPIs across the company.
Top Skills: Bi ToolsDbtPythonRSnowflakeSQL
2 Hours Ago
Remote
Chicago, IL, USA
60K-70K Annually
Junior
60K-70K Annually
Junior
Healthtech • Information Technology • Software
The Data Migration Specialist will manage the data migration process for clients, ensuring accurate extraction, transformation, and import of data into the ALIS platform, while collaborating with clients and teams.
Top Skills: CsvEhrJSONExcelPythonSaaSSQLXML
5 Hours Ago
Easy Apply
Remote
2 Locations
Easy Apply
157K-218K Annually
Senior level
157K-218K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Staff Data Analyst, you'll collaborate with Capital Markets and Lending teams to influence Upstart's capital strategy while driving insights through data and analytics. You'll build financial models, mentor junior analysts, and ensure impactful decision-making across the organization.
Top Skills: DatabricksDbtLookerPower BIPythonRRedshiftSnowflakeSQLTableau

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account