Job Summary:
We are seeking a creative data scientist for a role on our computational team to help develop a novel platform for the discovery of drug targets. Our computational engine combines rigorous mathematical and statistical analysis with sophisticated software development strategies. The platform integrates formal bioinformatics knowledge with ever-expanding datasets from genomics, single-cell biology, stem cells and neuroscience, to enable the rational identification of novel drugs. Candidates for this role should have a track record of developing or improving state-of-the-art computational methods, ideally paired with experience engineering object-oriented software. In addition, successful candidates must be able to work effectively both in a collaborative setting and independently, and must possess outstanding written, visual and oral communications skills.
Key Responsibilities:
- Critically assess current state-of-the-art computational methods in the literature on bioinformatics, statistics, mathematics, artificial intelligence, and computer science
- Work closely with our experimental scientists to devise novel machine learning algorithms, or apply pre-existing methods, for the analysis of large, very high-dimensional datasets
- Use ontology engineering to build software that combines experimental data with existing bioinformatics knowledge, to construct rich models of biological function from incomplete data
- Participate in code reviews (as both reviewer and author); software deployment and maintenance; iteration planning and timeline estimation; and software design discussions
Qualifications and Education Requirements:
You must have:
- Ph.D. in Computer Science, Mathematics, or the Biological or Physical Sciences
- Creativity and original thinking are paramount
- >5 years of programming experience in object-oriented (e.g., C++ or Java) and/or mathematical languages (e.g., MATLAB, Mathematica, or R)
- Commitment to rigor, in both quantitative analysis and software development
- Excellent communication and interpersonal skills (the role requires collaboration with both experimental and computational scientists)
Additional bonus qualifications (useful but not requisite):
- A strong background in machine learning or artificial intelligence
- Biological knowledge or experience working with biological datasets
- Experience working with relational database systems
- Familiarity with Unix/Linux operating systems, Amazon Web Services (AWS), and/or Git version control
To Apply
To apply for this position, send us your resume and cover letter to careers@kallyope.com.