Cancer Computational Biologist

ABOUT US

We envision a more informed approach to decision-making in drug development, one driven by data and tailored insights into patient selection.

Zephyr is pioneering an innovative AI platform aimed at revolutionizing cancer and cardiometabolic disease treatment paradigms. Through the aggregation of extensive real-world data (RWD) and the application of advanced machine learning techniques, we seek to deepen our understanding of biology, uncovering transformative insights that will reshape the development of new therapies and patient care practices.

For example our oncology models forecast how a patient's tumor will react to specific therapies, even with minimal clinical data and only next-generation sequencing (NGS) information about their tumor.

ZephyrAI is dedicated to revolutionizing drug development processes, reforming clinical trial methodologies, and making precision medicine accessible to all.

WE ARE HIRING A

CANCER COMPUTATIONAL BIOLOGIST

We seek a highly skilled research scientist with expertise in cancer, systems biology, and computational biology to join our growing multidisciplinary team working to advance precision oncology. The ideal candidate will work independently and in collaboration with other research team members to apply their skills to devise machine learning approaches to extract non-obvious insights from large biomedical datasets. The successful candidate will also be responsible for analyzing large-scale multi-omics data, mining publicly available data sources, and designing experiments to validate model predictions. This role requires communicating computational results and outcomes to a multidisciplinary team of scientists, data scientists, external collaborators, and partners. In addition, you will be working collaboratively with members from the data science, bioinformatics, and engineering teams.

ABOUT THE TEAM

We are a growing multi-disciplinary team delivering innovative precision medicine solutions to cancer patients. Our Research team analyzes a wide range of multi-omics and multi-functional data from publicly available databases and Real World Data providers. We use this data to develop predictive models that enhance our understanding of cancer and guide product development based on these insights. We are excited to share our passion for applying innovative machine learning techniques to save patients' lives with you and for your perspective to help shape our team's goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Lead analysis and interpretation of molecular (such as WES/WGS, RNA-Seq) and functional (such as pharmacological and CRISPR screens) datasets and clinical RWE cohorts.
Design, implement, and document algorithms and pipelines, ensuring their alignment with the objectives of ongoing and future projects aimed at unraveling the complexities of cancer genomics.
Formulate research hypotheses and develop computational methods to enhance biological interpretation of predictive models.
Build initial prototypes of predictive models in the space of cancer biology, drug response, and patient outcome prediction.
Lead discussion and present your analysis to members within and outside of the research science team. You may also communicate your work to the broader scientific community through presentations at scientific conferences (such as AACR, ASCO etc.), peer-reviewed publications and public seminars.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

SKILLS TO BE SUCCESSFUL IN THE ROLE

PhD in computational biology, genomics, cancer biology or related discipline.
Extensive experience with analyzing and interpreting omics (WES/WGS, DNA methylation, RNA-Seq, etc.), and high-throughput screen (pharmacological screens, and CRISPR perturbation assays) data.
Strong knowledge of Python/R and common data analysis packages (e.g., pandas, numpy, scikit-learn etc.)
Experience with analyzing and interpreting pathways and biological networks. Demonstrated ability to generate biological insights from omics data, through peer-reviewed publications or relevant work products.
Track record of completed scientific projects as evidenced by publications and preprints
Familiarity with drug screening databases (CTRP, GDSC, PRISM) and publicly available cancer datasets (CCLE, DepMap, TCGA, AACR Project GENIE, etc.)
Deep understanding of biostatistics and data analysis tools.
A critical mindset for data integrity, quality assurance, and documentation.

You will be a step ahead if you have:

Experience working in a version control environment (such as github).
Excellent written and oral communication skills necessary to explain complex data and analysis findings to non-experts.
Familiarity with pharmaceutical or biotech industry and meeting regulatory requirements.
Experience working in a fast-paced startup environment.

WHAT WE OFFER

This is a full-time exempt position reporting to the Principal Computational Biologist. This position requires the ability to work cross functionally within the organization.

We offer competitive compensation as well as a comprehensive benefits package including:

United Healthcare PPO, HMO, and HDHP plans > 100% company paid for you + family
Dental (including orthodontic coverage) > 4 carriers, 100% company paid for you + family
Vision > 2 carriers, 100% company paid for you + family
Health Savings Account ( HSA) + Flexible Spending Account (FSA)
Basic Life and AD&D Insurance > 100% company paid
Voluntary benefits: short term and long term disability, supplemental AD&D, supplemental life, pet insurance
Paid maternity and paternity leave
Unlimited paid time off
15 Paid holidays
401(k) program
Work from home + cell phone/internet reimbursement
Unlimited 1:1 tax advisory sessions with our equity management team
Employee referral bonus
Employee assistance program (EAP)
Opportunities for advancement

We are an equal opportunity employer

Zephyr AI provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Zephyr AI complies with applicable state and local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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VETERAN STATUS Learn more about veteran statuses

If you believe you belong to any of the categories of protected veterans listed below, please indicate by selecting the appropriate category(ies). The hiring employer is subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended by the Jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA) and requests this information in order to measure the effectiveness of the outreach and positive recruitment efforts it undertakes pursuant to VEVRAA.

DISABILITY STATUS Learn more about disability statuses

We are required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.