DATA SCIENTIST
Satellite Biosciences is pioneering the development and implementation of proprietary, off-the-shelf, implantable satellite organs as living therapeutic solutions that can transform the lives of millions of patients who suffer from serious diseases. Building on 25 years of work in award-winning academic labs, the platform is supported by a strong IP portfolio and is backed by a top tier syndicate, led by Polaris Partners.
We are seeking an experienced, creative, and motivated Data Scientist to join our rapidly growing team. In this role, you will contribute to the company’s platform technology of engineered satellite organs. Specifically, you will work closely with individuals across our multi-disciplinary organization on R&D, preclinical, clinical, and strategy projects.
This role is a unique opportunity to join an early-stage, well-funded Biotech startup. You will initially report directly to the Chief Technology Officer and be responsible for data science, computational biology, and bioinformatics. This position is full-time .
Responsibilities:
● Integrate multi-dimensional data types capturing the dynamic and spatial complexity of our implantable satellites.
● Filter, distill, and mine multi-dimensional clinical and multi-omics datasets.
● Collaborate closely with experimental colleagues to guide mechanism-driven identification and validation of specific biomarkers, targets, or product specification across various product pipelines.
● Provide conceptual input into analysis plans (approaches and design) and engage in cross-functional discussions to refine plans and identify key priorities.
● Perform computational data analysis as specified by analysis plans, visualize and provide interpretation and context to results of analysis.
● Apply machine learning frameworks to distill and stratify complex real-world clinical data.
● Identify, evaluate, and apply new methodologies and emerging technologies, and develop software tools when appropriate.
● Establish, oversee, and train employees to standardized approaches for data and statistical analyses
● Manage company data informatics systems and add new features and tools as needed
● Plan, direct, and execute tasks across projects according to project timelines and goals.
● Play a lead role in regular internal project meetings and data reviews.
● Maintain a clear, detailed documentation of all hypotheses and findings.
Required Qualifications & Experience:
● PhD in Computational Biology, Bioinformatics, Computer Science, Biostatistics or equivalent.
● Post-doc and/or industry experience in Genomics is a plus.
● Recognized excellence as evidenced by top-tier peer-reviewed publications and references.
● Strong understanding of cellular and molecular biology with extensive experience in next-generation sequencing (NGS) analysis of DNA (bulk and single-cell ChIP-seq, ATAC-seq) and RNA (bulk and single-cell RNA-seq).
● Solid background in applying machine learning, deep-learning frameworks, statistics and bioinformatics to biological problems.
● Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.).
● Experience with high-performance computing clusters and cloud computing.
● Track record of staying up to date with the latest developments in the field.
● Excellent collaboration skills and ability to communicate effectively with biologists and bioengineers.
● Comfortable in a fast-paced company and able to adjust workload and responsibilities based upon changing priorities
● The successful candidate will be an ambitious self-starter, have a strong work ethic, be able to generate high quality work under tight deadlines, and enjoy working in a fast-paced team environment.
Please submit your resume (.pdf format) to HR@satellite.bio