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 looking for a talented and experienced team member that loves to learn while contributing to a great culture.  Reporting to the VP of Data Architecture and Engineering, you will bring domain expertise in your role with autonomy to add value to the organization.  You will have the opportunity to build world-class platforms and solutions that drive forward medical discoveries to help save lives.  Extreme ownership and positive perspectives will be needed in delivering the best outcomes for the company’s culture and mission.



  • Execute the design and delivery of world-class data solutions
  • Engineer data projects while managing costs, time, and scope
  • Ensure all projects are on-time and within budget
  • Partner with infrastructure team on resource availability, accessibility, allocation, and accuracy for all data environments
  • Will be a lead contributor to all data pipelines, data lake, relational databases, NoSQL databases, file stores, and all other data repositories
  • Design and engineer data sources, data connections, data destinations, and computational efforts
  • Maintain documentation for data architecture, ERD, data dictionary, data lineage, and taxonomy resources
  • Monitor, secure, and manage alerts for data solutions
  • Support all types of analytics for data in motion and at rest
  • Support gathering requirements and adapt processes as needed
  • Support requests from all internal and external business units
  • Perform DevOps, CI/CD, and orchestration for all data environments
  • Advise and collaborate in infrastructure techniques including enterprise applications
  • Ensure security, privacy, governance, and compliance standards are met


Base Qualifications:

  • 5-10 years of experience delivering solutions as an engineer
  • Must have biotech experience
  • Must have experience with LIMS
  • Must have event-driven experience
  • Must have AWS experience
  • Must be an expert in Python and SQL
  • Must understand big data processing, distributed systems, terminal systems, and immutable systems
  • Must have data lake experience
  • Strong skills in object-oriented programming
  • Strong skills in RDBMS design and engineering
  • Skills in HDFS, Hadoop, EFS, S3, or other large file store storage and processing
  • Skills in enterprise data warehousing
  • Experience with DevOps, CI/CD, cloud deployments, configuration, testing, and automation
  • Experience with cloud operations, big data, data engineering, analytics, and business intelligence
  • Protect and contribute to company culture by keeping a positive attitude and growing relationships


Preferred Qualifications:

  • Advanced degree in life sciences or another related field
  • AWS certifications or other technical certifications
  • Experience with RDBMS like Oracle, SQL Server, MySQL, PostgreSQL, and Aurora
  • Experience with MPP, Redshift, and other technologies
  • Experience with services like AWS S3, Lambda, Glue, Athena, RDS, Kinesis, SQS, and EMR
  • Experience with Apache Kafka or other messaging queues
  • Experience with containerization (Docker, Kubernetes, Fargate, etc.)
  • Experience with Node.js, .Net, scripting
  • Knowledge in relevant applied mathematics, data mining, proper testing, and research
  • Knowledge in data collection, streaming, preparation, analysis, visualization, modeling, algorithms, evaluation, optimization, and implementation.
  • Exposure to web forms and other middleware data input methods for internal users
  • Exposure to web and mobile applications

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

Apply for this Job

* Required

When autocomplete results are available use up and down arrows to review
+ Add Another Education