Totus Medicines, an innovative therapeutic drug discovery biotech, is just emerging from stealth. With a $40M Series A, Totus is poised to revolutionize drug discovery. For the first time, Totus is enabling genome-scale drug discovery to allow the identification of precision medicines for hard-to-drug targets. At its core, Totus is a chemical biology company. Totus’ novel proprietary platform allows screening at a rate more than 100,000 times faster than competitive technologies. Totus has pioneered the development of selective medicines for patients with genetically defined cancers and plans for its first program to enter Phase I by end of 2022. Totus also plans to expand their platform to create therapeutics targeted at neurodegeneration, infectious diseases, and others. We are searching for talented, passionate, high-energy candidates to join our growing team.

We are seeking a candidate to lead the Data Engineering and Software team. Reporting to the Chief Data Officer, you will be part of a functionally integrated team, bring expertise in advanced data engineering for large-scale life science data systems. Our research mission is based on innovative scientific approaches to developing life-changing medicines and our ability to derive insights from massive amounts of scientific data. We are seeking a technically competent leader who will drive the short- and long-term technology needs of the organization and define and execute on a vision to create an advanced data platform. You will be tasked with developing and overseeing a data architecture strategy, as well as be hands-on as you lead a growing team to that ensures continuous value delivery for scientists.

You will be part of a dynamic organization and therefore you should be comfortable in a “building-mode” biotech setting where you will shape the company’s scientific strategy, culture, and mission. If this role excites you, reach out to Totus today.

What you bring:

  • B.Sc. or M.Sc. with 6+ years of industry experience in systems architecture and data science in a life science setting
  • Experience and ambition in driving teams towards common scientific goals and in creating innovative solutions across the organizational
  • Essential expertise in developing and implementing data warehouses, data lakes, and lake houses with experience of the latest platforms for efficient high-scale data hosting and analytics
  • Experience in working in an AWS environment, and a track record of experience with enterprise database and data platform systems design
  • Broad range of hands-on expertise and experience with RDBMS (e.g., Oracle, SQL Server, MySQL, PostgreSQL) and NoSQL database systems, OLAP and OLTP, Snowflake, DataBricks, Hadoop, HDFS, Hive, Pig, Sqoop, Mahout, REST, Semantic Integration, Python, R, RapidMiner, JIRA, Scrum, and containerization (Docker, Kubernetes, AWS Fargate, etc.)
  • Hands-on expertise in Cloud environments and administration with experience (e.g.  Apache Ambari, Nifi, Kafka, Spark, Flink, AWS EC2, EMR, Lambda, Glue, Athena, S3, EFS)
  • Knowledge of life science research data types (biological and chemical), ‘omics data, and life science platforms is important 
  • Adaptability and eagerness to troubleshoot or adjust to scientific changes as necessary
  • Ability to communicate effectively with cross-functional teams and contribute to critical decision making
  • Big picture thinking with an enthusiasm to drive data science methods forward and work collaboratively to help develop novel therapies for patients

Responsibilities:

  • Coordinate and lead an internal and external team focused on building out a scaled scientific data pipeline to support data analytics, data modeling and knowledge capture
  • Provide technical leadership, strategy, and hands-on expertise in all aspects of data warehousing, Cloud computing and Big Data analysis pipelining
  • Create an environment of innovation and entrepreneurship that enables a scalable data architecture to support all scientific data across the organization
  • Provide hands-on system design, DB schema design, software engineering and overall systems architecture support for the organization
  • Interact and form close and interactive partnerships with key stakeholder groups, including chemistry, biology, computational chemistry, ML scientists and IT functions
  • Provide mentorship and development of the team and contribute to building a culture that embraces scientific excellence and integrity with a sense of urgency and collaboration

What We Offer

  • A knowledgeable, high-achieving, experienced and fun team

  • A diverse work atmosphere

  • The chance to be part of a growing startup and the next success story

  • The opportunity to shape our company culture

  • Constant learning and dynamic challenges to help you grow and be the best version of yourself

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