We are looking for a talented Translational Research Associate for our Oncology Clinical Affairs team. You will drive clinical study analysis in a vertically integrated manner, from coordinating samples with our lab operations all the way to publications. Our groundbreaking Northstar oncology assays detect tumor derived mutated and methylated DNA with a simple blood draw; this role is crucial in demonstrating the clinical validity of our Northstar assays. You will advance the success of our Northstar assays by solving meaningful challenges at the intersection of computer science, statistics, genomics, and medicine. You will be at the forefront of molecular diagnostic technology as part of a team passionate about fighting cancer. 

This is a dynamic, start-up environment that requires adaptability and the ability to quickly learn and apply new concepts. TheTranslational Research Associate role is a hybrid position in our Menlo Park, CA facility.

Responsibilities: 

• Design, execute, and validate automated scripts for managing and organizing diverse data corresponding to large clinical studies, including bioinformatic next generation sequencing (NGS) results and longitudinal clinical health records.  
• Build, maintain, and execute analytic pipelines combining molecular and clinical results, which will include data cleaning, statistical analysis, oral and written presentation of results. 
• Devise and apply appropriate statistical methods on time-series molecular and clinical measurements.
• Collaborate with internal and external stakeholders to advance ongoing clinical studies and provide analytical insights.
• Summarize findings orally and in writing, internally and externally. 
• Contribute to poster and publication preparation; attend conferences. 

Requirements: 

• Education: Bachelor’s or Master’s in Computer Science, Biostatistics, statistics or related field.
• Experience: Bachelor’s with least 1-2 years of experience in a research or clinical setting or a Master’s in a relevant field. 
• Communication:  Exceptional written and verbal communication skills. Ability to work collaboratively with internal and external stakeholders with diverse specializations in business, translational research, clinical research, bioinformatics, and benchwork. 
• Technical: Proficiency in python or R. Experience with large data sets and data pipeline engineering. Ability to efficiently retrieve, modify, merge, and summarize data from disparate sources and across a multitude of formats. 
• Statistics: Strong fundamental knowledge including hypothesis testing, statistical distributions, confounders, and multiple test correction. 
• Genetics: Conceptual understanding of somatic variation, germline variation, epigenetics and corresponding lab technologies such as PCR and NGS. 
• “Dry lab” experience is required. This may include the statistical analysis of biological, genetic, or clinical data.

Nice-to-Haves

• Experience: analyzing clinical studies or clinical trials; translational cancer research; one or more peer-reviewed publications in oncology.
• Technical: git, github, AWS, S3, SQL, Redcap, OCR, LLMs, machine learning.
• Statistics: Kaplan Meier curves, hazard ratios, time series analysis.
• Regulatory Knowledge: Experience in diagnostics test and/or drug regulatory approval process.  Familiarity with HIPAA regulations.
• Genetics: Familiarity with cancer biology, aneuploidy, copy number variation, circulating tumor DNA (ctDNA), cell-free DNA (cfDNA).
• Clinical: Experience with clinical studies, RECIST, radiology, oncology, pharmacology, or pathology.

Benefits And Perks:

• Working with a team of ‘rockstars’ who bring out the best in everyone
• Open, transparent culture that includes weekly Town Hall meetings
• The ability to indirectly or directly change the lives of hundreds of thousands patients
• Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80%
• Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
• Retirement savings program including a 4% Company match
• Free daily on-site lunches provided from top eateries
• Latest and greatest hardware (laptop, lab equipment, facilities)
• A variety of perks on campus (state of the art gym, restaurant)
• Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, the base pay range is: $70,000-$80,000 per year. 

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.