RefinedScience Logo

RefinedScience

Bioinformatics Intern

Job Posted 2 Days Ago Posted 2 Days Ago
Remote
Internship
Remote
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

Similar Jobs

An Hour Ago
Remote
San Francisco, CA, USA
145K-233K Annually
Junior
145K-233K Annually
Junior
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Business Intelligence Analyst will collaborate with cross-functional teams to solve product and business problems, utilizing BI tools to create data visualizations. They will define key business metrics with Data Engineers, train stakeholders on BI tools, and identify and resolve data quality issues.
4 Hours Ago
Easy Apply
Remote
4 Locations
Easy Apply
Senior level
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
The Data Analyst will provide insights, drive analytics, support decision-making across the organization, and help build a data-driven culture.
Top Skills: Bi Tools Like MetabaseDbtLookerPalantir FoundryPythonSnowflakeSQL
5 Hours Ago
Remote
United States
212K-235K Annually
Senior level
212K-235K Annually
Senior level
eCommerce • Food • Software
Lead a team of data scientists to drive data analysis strategy for marketing and growth, ensuring quality and actionable insights.
Top Skills: Causal InferenceMachine LearningSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account