Job Description

Responsibilities*
Help with the technical development of informatics platforms and workflows for analyzing complex genomic/proteomic datasets in the context of ALK+ cancer detection and progression
Combine large public and internally-generated multi-omic clinical biomarker and drug screening datasets for integrative analysis
Review relevant literature in bioinformatics, cancer biology and molecular diagnostics and help assess and implement current best-practice methodologies into the overall group computational platform
Collaborate deeply with PIs, researchers, postdocs and students to understand research goals, help implement computational solutions, and communicate methods and results
May provide project leadership to team of junior informaticians and software developers in critical decision making and project management
Required Qualifications*
Senior:

Bachelor's degree in Computer Science, a related field or equivalent experience.
5 to 7 years of increasingly complex business programming experience in a business environment
Intermediate:

Bachelor's degree in Computer Science, a related field or equivalent experience.
3 to 5 years of increasingly complex business programming experience in a business environment
Both:

Fluency in at least one of Python, R, Java, C++, JavaScript or Groovy programming
In-depth experience with NGS analysis pipelines, algorithms, and workflows, and in analysis and interpretation of high-throughput molecular phenotyping data such as bulk DNA- and RNA-Seq and single-cell analysis
Experience with statistical and machine learning methodologies as applied to biological datasets: drug response prediction, outcome classification, etc.
Experience working in HPC and cloud computing environments
Desired Qualifications*
PhD or MS in a STEM field
Experience building computational workflows with frameworks like nf-co.re NextFlow, SnakeMake, WDL/Cromwell
Experience building web-based applications and services using standard software development tools or frameworks: relational databases, Spring, MongoDB, Javascript, libraries and frameworks like React, Dash, Django, Flask, Streamlit
Experience with container-based management (Docker, Singularity), and Git/GitHub
Experience with large, public, cancer-related datasets such as TCGA and CCLE, and online platforms and databases such as cBioPortal, UniProt, COSMIC, and ClinVar
Solid track record of research in cancer, biomedical, or related areas as demonstrated by publications
Underfill Statement
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.