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Our Culture

We are a world-class team translating a pioneering understanding of basic biology into a powerful new class of cancer therapies.

When we say we’re a team, we mean it. We support one another. We challenge one another. We learn from one another. And we always lend a hand.

We have 11,000 square feet of office and lab space in New York City, the greatest city in the world. When we can’t be there in person, we find ways to maintain our connections over Zoom. (Case in point: A recent team cooking class. Who would have thought seasoning paella could be a bonding experience?)

We’re here to turn breakthrough science into therapies that can shut down metastatic cancer.

Our Values

Current Openings

Position Location
Head of Data Science New York, NY

COMPANY

Volastra Therapeutics, Inc. is a platform-based biotechnology company formed from the laboratory of Dr. Lewis Cantley, along with Drs. Olivier Elemento and Samuel Bakhoum.  Volastra Therapeutics is dedicated to the discovery and development of treatments for patients with metastatic cancers.  The Company’s therapies will target novel pathways and apply insights gained from its scientific founders into chromosomal instability (CIN) and its clear association with the formation, progression, and maintenance of metastasis.  Utilizing an integrated multi-omics approach with high content analytics in metastasis-derived organoids, the team at Volastra plans to identify and quickly validate novel therapies to shift the treatment paradigm in metastatic cancers.   

JOB DESCRIPTION

The role of Head of Data Science at Volastra will work closely with the CSO and scientific team to achieve the company’s scientific and strategic plan specifically focused on computational biology and informatics.  The Head of Data Science will have responsibility for leading complex projects as part of the scientific team to ensure the advancement of key programs in the Volastra pipeline. Job responsibilities will include, but are not limited to:

  1. Evaluation, design and implementation of analyses, mining, and visualization techniques to deep dive into genomics, transcriptomics, and proteomics data from pre-clinical experiments and, eventually, clinical trials
  2. Implement a platform of robust statistical analysis and data mining to answer key scientific questions in the drug development and discovery process
  3. Build, manage and develop a team of high performing scientists to support data handling and analysis in the research organization
  4. Leverage and oversee external collaborations to further the organizational goals around data science and computation
  5. Extensive experience with large-scale data analysis, next generation sequencing, gene expression analysis, and a thorough understanding of statistical evaluation, including but not limited to: 
    • Monitoring and evaluation of analytical aspects of new and emerging technologies
    • Integration of diverse sequence and -omics datatypes to meaningfully investigate disease states, biomarkers, disease models and biological responses
    • Strong programming skills (such as R, Python, etc.) with experience developing clearly communicated and reproducible methods and tools
    • Understanding and implementation of Artificial Intelligence (AI) and Machine Learning (ML) methods in support of driving solutions to complex problems
    • Development of high-level custom statistical models and analysis packages supporting study design and interpretation
  6. Work collaboratively with our fast-paced leadership team including head of chemistry, biology, biotherapeutics and biochemistry to answer complex questions in a data-driven manner
  7. Generate hypotheses from internal and external data and help guide experimental design to test these hypotheses and effectively synthesize and communicate the data and outputs to senior management
  8. Uncover and prioritize novel therapeutic targets through the integrated analysis of both in-house and external datasets
  9. Identify research problems and develop and implement tools to come up with solutions
  10. Contribute to building a culture that embraces scientific excellence and integrity with a sense of collaboration internally and externally.

Volastra is a lean team of dedicated individuals working to advance therapies for patients with metastatic cancer.  As such, the Head of Data Science will from time to time have the opportunity to work on projects and take on responsibilities that may fall outside his/her scope of work. 

Scientist I/II, Computational Biology New York, NY

COMPANY

Volastra Therapeutics, Inc. is a platform-based biotechnology company formed from the laboratory of Dr. Lewis Cantley, along with Drs. Olivier Elemento and Samuel Bakhoum.  Volastra Therapeutics is dedicated to the discovery and development of treatments for patients with metastatic cancers.  The Company’s therapies will target novel pathways and apply insights gained from its scientific founders into chromosomal instability (CIN) and its clear association with the formation, progression, and maintenance of metastasis.  Utilizing an integrated multi-omics approach with high content analytics in metastasis-derived organoids, the team at Volastra plans to identify and quickly validate novel therapies to shift the treatment paradigm in metastatic cancers.   

JOB DESCRIPTION

The Scientist I/II, Computational Biology will work closely with the Head of Biology and the entire scientific team to achieve the company’s integrative multi-omics approach to understand chromosomal instability in metastatic cancers.  The Scientist, Computational Biology will have responsibility for leading projects as part of the scientific team to ensure the advancement of key programs in the Volastra pipeline. Job responsibilities will include, but are not limited to:

  1. Uncover and prioritize novel therapeutic targets through the integrated analysis of both in-house and external datasets (RNA-Seq, Whole Exome Sequencing, etc.)
  2. Development and implementation of novel computational methods using bulk and single-cell expression and genomics data to measure CIN
  3. Understanding, development and implementation of machine learning / artificial intelligence methods for image-based preclinical and clinical data
  4. Work collaboratively with the scientific team including biologists, computational biologists and chemists to answer complex questions in a data-driven manner
  5. Contribute to building a culture that embraces scientific excellence and integrity with a sense of collaboration internally and externally.
  6. Clearly communicate key findings to members of the scientific and leadership teams.

 

Required Skills

  • Advanced level coding experience python, bash scripting and R statistical analysis
  • Experience working in Linux environments and high-performance cluster computing
  • Understanding and hands-on experience executing genomic data processing and familiarity with bioinformatics software/tools

 

Volastra is a lean team of dedicated individuals working to advance therapies for patients with metastatic cancer.  As such, the Scientist will from time to time have the opportunity to work on projects and take on responsibilities that may fall outside his/her scope of work. 

Scientist, Immunology New York, NY

COMPANY

Volastra Therapeutics, Inc. is a platform-based biotechnology company formed from the laboratory of Dr. Lewis Cantley, along with Drs. Olivier Elemento and Samuel Bakhoum.  Volastra Therapeutics is dedicated to the discovery and development of treatments for patients with metastatic cancers.  The Company’s therapies will target novel pathways and apply insights gained from its scientific founders into chromosomal instability (CIN) and its clear association with the formation, progression, and maintenance of metastasis.  Utilizing an integrated multi-omics approach with high content analytics in metastasis-derived organoids, the team at Volastra plans to identify and quickly validate novel therapies targeting the pathways of genomic instability. 

JOB DESCRIPTION

The role of Scientist at Volastra will work closely with the CSO and scientific team to achieve the company’s scientific and strategic plan.  Volastra is seeking a highly motivated Senior Scientist for an in vitro and in vivo biology lab-based role. The Scientist will have responsibility for leading and executing projects as part of the scientific team to ensure the advancement of key programs in the Volastra pipeline. Our ideal candidate is an independent thinker with excellent communication skills who may provide insights towards experiment design and interpretation and is also a team player who may take on responsibilities outside his/her scope of work. The candidate should have a track-record of consistent experimentation, experience with in vitro and ex vivo immunological assays and syngeneic tumor models, integrity, and tangible contributions to biopharmaceutical drug programs and/or peer-reviewed publications. Project responsibilities will include, but are not limited to:

  1. Validate novel immune-oncology targets identified through the company’s CIN/metastasis platform
  2. Develop, validate and execute in vitro, ex vivo, and in vivo immunological experiments
  3. Interrogate the biology of CIN and metastasis to yield new mechanistic insights

Required Skills:

  • Experience optimizing, executing and analyzing syngeneic in vivo tumor models (primary tumors and metastatic tumors) and anti-tumor immune responses
  • Experience with bioluminescent imaging or other in vivo imaging modalities to track metastatic tumor growth
  • Primary immune cell isolation and characterization by multi-parameter flow cytometry, ELISA and other common immunological techniques
  • In vitro functional assays with primary human and murine immune cells (e.g. T-cell proliferation/activation, antigen-specific proliferation, myeloid cell maturation/polarization, MLR, etc)
  • Data analysis and presentation through software such as Graphpad Prism, Microsoft Excel and Powerpoint
  • Time management to independently meet deadlines

Preferred Skills:

  • Experience developing co-culture assays
  • Experience with genetic manipulation (overexpression, RNAi and/or CRISPR/Cas9) of primary immune cells and cancer cells
  • Experience with xenograft tumor models
  • Benchling inventory/registry/ELN system