Careers

Open Positions

Scientist, Bioinformatics

Location: Cambridge, MA

POSITION

We want to cure cancer by targeting its core transcriptional mechanisms and programs with novel small molecule drugs. You will help build a platform that can elucidate oncogenic transcriptional networks and mechanisms of action for novel small molecule therapies against historically undruggable oncology targets from multi-omics datasets. You will manage, integrate, analyze, and visualize multi-omics data and workflows to characterize chemical and genetic perturbations of tumors to infer relevant regulatory networks.

You have a results-oriented mindset, paired with an eagerness for learning, and willingness to contribute to a strong culture of teamwork and collaboration in a fast-paced environment.

ESSENTIAL FUNCTIONS AND DUTIES

Develop, evaluate, implement, and perform algorithms and reproducible workflows for data analysis
Work closely with the target validation team and contribute to the identification and validation of novel oncology targets leveraging public and proprietary datasets
Empower Biology and Chemical Biology teams to develop, optimize and implement experimental and analytical strategies
Identify or validate target engagement, mechanism of action and biomarkers for sensitivity to novel anti-cancer therapies, leveraging and integrating public and proprietary datasets

Communicate and visualize results clearly and succinctly in plots and dashboards
Summarize and present scientific results with clear conclusions and recommendations
Develop documentation of analyses conducted and/or analysis plans and specifications, as appropriate.
Support infrastructure and provide code base maintenance (documentation, testing, and version control)
Maintain expertise in state-of-the-art computational methods

SKILLS AND EXPERIENCE

MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or related discipline with 2+ years of hands-on experience
Proficiency in data analysis including several of the following: Diverse types of genomics data such as RNA-Seq, ChIP-Seq, and ATAC-Seq, CRISPR screening, scRNA-Seq
At least basic understanding of statistical analysis principles
Facility in Python (SciPy, NumPy, Pandas) and/or R (Tidyverse), as well as statistical data analysis and visualization tools/packages (e.g. Shiny, Plotly, Matplotlib)
linux/unix based environments, version control (GitHub), Docker
Familiarity with public data resources like DepMap, CCLE, TCGA or others
Familiarity with data visualization tools and the ability to present complex datasets and analyses to cross-functional audiences
Training and experience in supervised machine learning techniques a plus
Experience with AWS (e.g. SageMaker) a plus
Experience with workflow management (Snakemake, Hail, Nextflow) a plus
Experience with scRNA-Seq datasets a plus
Embodies Kronos values; exhibits high degree of integrity and professionalism when interacting with outside investigators and vendors
Entrepreneurial and enjoys working in a fast-paced, creative and resourceful small company environment

To apply for this position, please forward your resume and cover letter to careers@kronosbio.com.

Careers

Open Positions

Scientist, Bioinformatics

POSITION

ESSENTIAL FUNCTIONS AND DUTIES

SKILLS AND EXPERIENCE

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