Bioinformatics Data Scientist Manager

Ancestry, Inc. San Francisco , CA 94118

Posted 4 months ago

Ancestry is looking for an innovative Bioinformatics Manager of Genomic Technologies to join our DNA Science team. In this influential role, you will analyze DNA data, working closely with laboratory scientists, population geneticists, and data scientists to build scalable high throughput genomics laboratories for Ancestry's products. You have extensive hands-on experience using distributed computing systems to analyzing large DNA datasets in a multi-disciplinary team environment. You are equal parts Bioinformatics Scientist and people manager: you are interested in combining your scientific knowledge and management skills to develop technologies for one of the highest volume genomics laboratories in the world.

What you will do

  • Lead team of Bioinformatics Scientists who analyze genomic data to develop and optimize high-throughput laboratory technologies for Ancestry's direct-to-consumer genomic tests

  • Build and maintain genomic algorithms and databases to support analyses. Work with engineering teams to transition workflows to production

  • Continuously improve Ancestry's products by contributing scientific, technical, and project planning expertise

  • Build a high performing team of Bioinformatic Scientists. Manage team development including technical mentorship, career development, and integration with project teams

  • Cultivate open communication and collaborative working environment with partner teams. Interact with external collaborators.

  • Participate in executing data lifecycle policies for data storage, usage, and analysis

  • This is a hands-on technical and people management role

  • Ph.D. in Bioinformatics, Biostatistics, Computer Science, Biomedical engineering or equivalent training

  • Experience managing high performing data science teams in a biotech, pharma, or genomics environment. Typically obtained with 1+ years leadership experience. Able to deliver results with an emphasis on quality and scientific rigor

  • Extensive hands-on experience analyzing data from genomic technologies such as genotyping arrays or next generation sequencing. Prior hands on laboratory experience desirable

  • Strong communication, data presentation, and documentation skills. Able to communicate scientific results to both technical and non-technical audiences

  • Experience working with large genomic datasets in a distributed Unix environment using Python, R, Python, C/C++, SQL, and source code control tools such as git. Comfortable working in cloud environments

  • Expertise using Bioinformatics tools, data qc, and statistical methods to analyze genomic data. Knowledge of publicly available genomic databases

  • Able to integrate and apply feedback in a professional manner

Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry's suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3,, Find a Grave,, and Rootsweb.

We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at (REF993M)




See if you are a match!

See how well your resume matches up to this job - upload your resume now.

Find your dream job anywhere
with the LiveCareer app.
Download the
LiveCareer app and find
your dream job anywhere

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Product Data Scientist Ads Data Science


Posted 2 days ago

VIEW JOBS 11/17/2018 12:00:00 AM 2019-02-15T00:00 Product Data Scientist - Ads Data Science San Francisco, CA Who We Are The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science. We routinely deliver significant improvements to our revenue, and work in a close sync with our executive staff (including our COO & CFO) due to our direct impact on Twitter's business. What You'll Do We're looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels. Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You'll own significant projects end-to-end. The small teams of talented, passionate people in which you'll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter. Who You Are You're a data scientist with a track record of delivering results. You find satisfaction in shipping changes that deliver measurable impact in the form of immediate revenue. You apply machine learning and data science techniques when applicable, but are just as happy to implement a simple heuristic when you find it's as effective at driving impact to your product. You're looking to join a strong, high-performing team. Sample Projects * We build new ways for advertisers to buy ads on Twitter, such as paying up front for guaranteed results * We design incrementality studies to measure the lift in brand awareness that our advertising campaigns drive * We dive into individual products (e.g. video ads) to improve results for our most critical business priorities * We evaluate the impact of ads on new Twitter users, determining how to show them ads in order to maximize their long-term usage of the product * We are responsible for measuring the results of all experiments on Twitter ads Requirements * Experience using data intelligently to optimize product performance * Experience performing analysis on raw event data in modern data warehouse systems * Deep understanding of data platforms in which you've previously worked * Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making * Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact * Good understanding of (one or more of the following): Python or R Bonus Points * Past experience in adtech * PhD or MS in computer science, machine learning, or statistics * Good understanding of (one or more of the following): Java, Scala, or C++ * Interesting side projects or Kaggle competition results We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitter San Francisco CA

Bioinformatics Data Scientist Manager

Ancestry, Inc.