Data Scientist, Protein Engineering

Location
Austin, TX, USA
Posted
Jun 03, 2021
Ref
274321
Hotbed
Lone Star Bio
Required Education
Bachelors Degree
Position Type
Full time
Company Description:

Molecular Templates is a clinical-stage biopharmaceutical company focused on the discovery and development of differentiated, targeted, biologic therapeutics. Our proprietary biologic drug platform technology, known as engineered toxin bodies, or ETBs, leverages the resident biology of a genetically engineered form of Shiga-like Toxin A subunit to create novel therapies with potent and differentiated mechanisms of action for cancer and other serious diseases. MTEM currently has multiple clinical-stage ETB candidates in development including MT-5111, TAK-169, and MT-6402. Additional preclinical compounds derived from our ETB platform technology are being advanced toward clinical development. Additional information about Molecular Templates can be obtained at www.mtem.com.

Position Overview:

Molecular Templates is seeking an accomplished and highly-motivated Data Scientist to join the Molecular Biology group as part of the research and development (R&D) team. This position will be primarily dry lab-based and focused on the design, production, characterization, and optimization of novel biologics and ETBs. The Scientist will contribute to the advancement of platform biologics technology through the generation of rich data sets from historical data mining and continuous data collection and analysis. The Scientist is expected to work on projects with minimal direct supervision and apply good judgment in the collection, storage, organization, retrieval, analysis, and presentation of data. Expected to operate within defined procedures and practices to define appropriate actions. The Scientist may work with more junior team members to train and mentor them. In addition, they may lead R&D projects to drive the forward progress of pipeline candidates at the discretion of the management team and in line with R&D priorities.

Job Responsibilities will include:
  • Contribute to the generation of rich data sets and the development of predictive protein engineering data models using state of the art techniques
  • Based on methods utilized across industry, develops in silico assessment models, in vitro assays and experimental systems for use at MTEM to interrogate ETB biology.
  • Independently designs, executes, and troubleshoots experiments to evaluate activity of novel biologics and ETBs
  • Execute and manage projects of defined scope to describe the physical, biochemical, and functional profile of candidate ETBs, as directed by project team leaders.
  • Apply new technologies to optimize and develop new screening methods for the evaluation and rapid identification of novel biotherapeutics.
  • Analyzes data and draws logical conclusions to define further action and effectively communicate to team members and management in a timely manner
  • Maintain knowledge of scientific trends, industry processes and pipeline target literature through readings, conferences, and seminars in order to contribute to strategic development of novel ETB platforms.
  • Document all procedures in an accurate and timely manner.
  • May function as a subject matter expert and point of contact for the specific functions/equipment within the department
  • With guidance from management executes and manages new projects, as needed.
  • May interface with various departments and serve as internal consultant, as needed.
  • May interface with external CRO or Vendors to deliver on project goals.
  • Supports in mentoring and training junior team members at the discretion of the management team
  • Other duties and responsibilities may be assigned by supervisor, as needed.


Qualifications:
  • Master's degree with 4+ years of data science and relevant laboratory experience; or PhD in Computational Biology, Bioinformatics, Biophysics, Structural Biology, or related field with 2+ years of relevant laboratory and data science experience.
  • Experience in industry R&D, preferred
  • Demonstrated experience engineering proteins and fusion proteins with desired properties through computational method development and application
  • Development of data models to assess silico developability and manufacturability of novel biologics
  • Experience in protein expression including, but not limited to in silico construct design, host characterization, upstream and downstream processing, analysis
  • Experience developing, validating, and troubleshooting assays for biotherapeutic characterization strongly preferred.
  • Demonstrated understanding and application of high-throughput techniques (multi-well, multichannel pipet, automated/robotic processes, etc.) and Design of Experiments (DOE) preferred
  • Excellent written and verbal communication skills
  • Excellent computer skills with knowledge of spreadsheet, word processing and statistical analysis software
  • Excellent problem-solving and analytical skills applied to investigations
  • Excellent project management, time management, and multi-tasking skills
  • Proven ability to design research projects independently and provide thought-leadership
  • Ability to manage competing priorities or projects and meet deadlines
  • Ability to function independently and exercise good judgement, as well as work closely in cross-functional teams to support multiple pre-clinical stage programs
  • Ability to clearly and efficiently document, communicate and present complex data sets
  • Ability to function in a fast-paced, high-growth and team-based work environment


Reporting Structure:

This position may have supervisory responsibilities. This position reports to the Director of Protein Engineering, R&D.

Molecular Templates celebrates and supports our differences and is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or any other legally protected characteristic. 

MTEM is committed to providing reasonable accommodations for qualified individuals. If you need assistance with your application due to a disability, you may contact us at: careers@mtem.com.

By submitting a resume for consideration, applicants verify that they have read MTEM's Applicant Privacy notice. https://www.mtem.com/privacy-policy

Molecular Templates Inc https://mtem.isolvedhire.com