What are the responsibilities and job description for the Summer Intern, Data Science position at Skyhook?
About Skyhook:
Launched by RA Capital, Skyhook is an early-stage biotechnology company building a modular, next-gen platform to unlock previously unavailable biomolecule design spaces to transform the discovery and development of differentiated therapeutic, diagnostic, and industrial products. Our team is an innovative group of domain experts in AI/ML computational modeling, advanced synthetic biology, microfluidics, protein engineering, and single-cell profiling who are deeply passionate about the power of the platform to invent the future today. World-class scientific founders from the Broad Institute, cutting-edge technology, and backing from RA Capital come together in a dynamic start-up environment.
About RA Capital:
RA Capital funds and builds healthcare and life science companies using an evidence-based investment approach informed by TechAtlas, a think tank within RA Capital which analyzes scientific and clinical data from academic literature and industry sources to anticipate how breakthroughs might impact industry stakeholders, physicians, patients, and policymakers. TechAtlas' analyses are captured in a unique collection of competitive landscapes, or ‘maps’, which identify competitive therapeutics, diagnostics, research tools, and/or technological capabilities in each area.
About the Role: We are seeking an excited, self-motivated, and team-oriented Data Science Intern, with a passion for biological data and machine learning. In your role, you will support our cross-functional teams by participating in computational protein engineering projects and by cleaning, analyzing, and learning from our in-house data to drive platform activities and our R&D programs. You will work closely with the experimental and computational teams to design experiments and analyze large datasets. You will present results to the company at the end of the eight-week internship (June-July 2025). You will have the opportunity to work with a highly skilled multidisciplinary team in a fast-paced startup environment. Intern must be able to report to Cambridge, MA for in-office work Mon-Fri each week and either a resident of Massachusetts or enrolled in a Massachusetts-based undergraduate program.
To apply, please include a cover letter outlining your motivation and relevant skills with your resume.
Key Responsibilities
Launched by RA Capital, Skyhook is an early-stage biotechnology company building a modular, next-gen platform to unlock previously unavailable biomolecule design spaces to transform the discovery and development of differentiated therapeutic, diagnostic, and industrial products. Our team is an innovative group of domain experts in AI/ML computational modeling, advanced synthetic biology, microfluidics, protein engineering, and single-cell profiling who are deeply passionate about the power of the platform to invent the future today. World-class scientific founders from the Broad Institute, cutting-edge technology, and backing from RA Capital come together in a dynamic start-up environment.
About RA Capital:
RA Capital funds and builds healthcare and life science companies using an evidence-based investment approach informed by TechAtlas, a think tank within RA Capital which analyzes scientific and clinical data from academic literature and industry sources to anticipate how breakthroughs might impact industry stakeholders, physicians, patients, and policymakers. TechAtlas' analyses are captured in a unique collection of competitive landscapes, or ‘maps’, which identify competitive therapeutics, diagnostics, research tools, and/or technological capabilities in each area.
About the Role: We are seeking an excited, self-motivated, and team-oriented Data Science Intern, with a passion for biological data and machine learning. In your role, you will support our cross-functional teams by participating in computational protein engineering projects and by cleaning, analyzing, and learning from our in-house data to drive platform activities and our R&D programs. You will work closely with the experimental and computational teams to design experiments and analyze large datasets. You will present results to the company at the end of the eight-week internship (June-July 2025). You will have the opportunity to work with a highly skilled multidisciplinary team in a fast-paced startup environment. Intern must be able to report to Cambridge, MA for in-office work Mon-Fri each week and either a resident of Massachusetts or enrolled in a Massachusetts-based undergraduate program.
To apply, please include a cover letter outlining your motivation and relevant skills with your resume.
Key Responsibilities
- Clean and save in-house data in a tabular format
- Analyze data quality to remove potential errors and outliers
- Apply machine learning and statistical models to learn from cleaned data
- Apply machine learning models to design and filter proteins for enhanced activity
- Communicate with experimental and computational scientists to maintain data quality and perform the analysis important for the experimental team
- Develop efficient, high-quality code, and data pipelines
- Present results in R&D meetings and at the end of the internship
- Currently pursuing a bachelor’s degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, or a related field
- Significant experience in programing languages such as python
- Eagerness to learn and ability to integrate positive and constructive feedback into future work
- Familiarity with Machine learning models and statistical models
- Familiarity with data analysis and data cleaning
- Familiarity with protein structures
- Strong analytical skills, detail-oriented, and thrives in a fast-paced startup environment
- Excellent communication skills (written and verbal) and adept at building strong relationships across multidisciplinary teams