Career
Life at Ensem
At Ensem, we are a passionate team focused on discovering transformative therapies for patients across the world. Our mission, values, people and strategy are essential in our ability to focus on traditionally undruggable targets. We are guided by our shared values.
We are One Ensem!
In addition to competitive salary and bonus, our many benefits include:
Generous Vacation
Medical, Dental and Vision Insurance
Life Insurance Long and short term disability
Cell/Internet Stipend
Employee Assistance Program
Equity
Paid Parental Leave
401(K) with 6% Company Match (no cap)
Employee referral program
Want to be a part of something special?
In joining our team you will feel the energy and passion of people truly working towards saving lives. We are building a first-class team dedicated to our Mission and excited to make the journey together. We work hard, but laugh more. We know you must enjoy the journey to be successful.
Open Positions
Associate Director to Senior Director, AI/Computational Sciences
About the job:
Ensem Therapeutics is building new capabilities in Machine Learning (ML) and Artificial Intelligence (AI) on our computational platform for drug discovery. We are seeking a passionate and experienced Computational Scientist to join the team. The successful candidate will implement Ensem's strategy of integrating predictive sciences, biology, and medicinal chemistry to accelerate the path to new medicines. As a leader of the ML/AI team, you have the opportunity of being the architect of this transformative technology of drug discovery for the benefit of patients.
Job Responsibilities:
· Lead a team and develop cutting-edge machine learning algorithms and statistical models that enable and accelerate drug discovery projects.
· Build upon the successful protein structure prediction algorithms such as AlphaFold2 and Rosettafold, incorporate protein dynamics information from Ensem’s unique detailed experimental data and computer simulations into deep learning algorithms, to develop predictive models for non-obvious ligand-binding sites on protein targets, enable and impact new target identification and new mode of actions drugging strategies. · Expend ML methodologies into the field of AI-based predicting ligand-protein recognition. Utilizing the structural information of protein-ligand complexes in PDB and combining with SAR from lead-optimization projects to generate accurate ligand binding-mode model and binding affinity prediction.
· Collaborate with computational chemists; develop and train machine learning models to improve the accuracy of traditional physics-based simulation and modeling methods.
· Develop ML/statistical models for predicting molecular properties based molecular structures · Develop generative models for designing drug-like molecules
· Work with scientific leadership at Ensem to develop the strategy for company success through platform technologies
· Build a productive team and develop the culture of scientific innovation.
Key Qualifications:
· Ph. D. in computational or physical sciences with 3+ years of working experiences. Drug-discovery experience is a plus.
· Notable accomplishments in machine learning research with strong publication record
· Extensive experience with common machine learning tools, such as Scikit.learn, Tensorflow, Pytorch, etc..
· Hand-on knowledge of working with large and heterogeneous data sets.
· Experience in collaboration with research scientists in biology and chemistry to solve scientific problems
· Experience with cheminformatic and bioinformatic tools.
· Strong leadership skills and mentorship.
· Highly motivated to develop computational methods and software for discovering better medicines
Personal Attributes:
· Flexibility and adaptability to thrive in an emerging biotech environment
· Sense of urgency to help bring new and more effective medicine to patients.
· Collaborative, open-minded, data-driven, and creative.
· Attention to details while focused on the big picture.
· Persistent in the face of obstacles and uncertainty, strongly optimistic about overcoming challenges.
Associate Scientist to Senior Scientist, Cell Biology
POSITIONS:
ENSEM Therapeutics is seeking experienced and motivated PhD-level scientists with expertise in cancer cell biology to join our Cell Biology team. In this role, you will design and perform cell studies to evaluate small molecules for their ability to inhibit oncogenic pathways. You will also assess novel drug targets for their prioritization and integration into our discovery pipeline.
POSITION DESCRIPTION:
· Report to the Head of Biology or one of our senior biologists.
· Design mechanistic assays for small molecule optimization and manage external resources for routine compound testing. Characterize lead compounds and development candidates to help advance projects to preclinical development and to enable development of biomarkers and assays for use in first-in-human studies.
· Actively participate in discussions at project meetings and other forums within the company, to leverage the opportunities to broaden scientific and strategic insights.
· Collaborate with colleagues from other functional areas to build and maintain alignment on project goals and issues. Scientists who demonstrate the requisite leadership skills will have future opportunity to lead project teams and manage internal resources.
QUALIFICATIONS:
· A PhD in Biology, Pharmacology, Cell or Molecular Biology with experience in signal transduction pathways or gene expression regulation in mammalian cells is required. Post-doctoral training is required, except in the case of Associate Scientists.
· Proficiency in the characterization of proteins and nucleic acids, using techniques such as immunoprecipitation, ELISA, RT-PCR, and qPCR is required. Candidates should have extensive experience with mammalian cell culture and transfection techniques, as well as the design of expression plasmids.
· Flexibility, adaptability, and multi-tasking in an interdisciplinary, hybrid (internal/outsourcing) and multi-site environment.
· Exceptional interpersonal and communication skills to articulate deliverables, progresses, and issues to the drug discovery team and solicit feedbacks from team members and industrial and academic partners.
· Personal attributes: attention to details while focused on the big picture; ability to scientifically influence and motivate others; a team player who listens effectively and values feedbacks; collaborative, open-minded, data-driven, and creative; persistent, optimistic with can-do spirit.

When submitting your application, please use Requisition Number ENSEM-2022-CB02 in your subject line. Submit your resume and a cover letter by clicking apply now.
Senior Research Associate, Cell Biology
POSITION:
ENSEM Therapeutics is seeking experienced and motivated BS- or MS-level scientists with experience in cancer cell biology to join our Cell Biology team. In this role, you will design and perform cell studies to evaluate small molecules for their ability to inhibit oncogenic pathways.
POSITION DESCRIPTION:
· Report to one of our senior biologists. · Optimize mechanistic assays that will be used by external resources in routine testing of small molecules. Characterize lead compounds and development candidates to help advance projects to preclinical development and to enable development of biomarkers and assays for use in first-in-human studies.
· Perform in vitro target knockdown or knockout studies for optimization of assays and reagents, and for target evaluation.
· Collaborate with colleagues from other functional areas to assist in data interpretation and reporting. Present experimental results in departmental and project team meetings.
QUALIFICATIONS:
· A BS degree (with 5+ years of experience), or an MS degree (with 3+ years of experience) in Biology, Pharmacology, Cell or Molecular Biology with experience in signal transduction pathways or gene expression regulation in mammalian cells is required.
· Proficiency in the characterization of proteins and nucleic acids, using techniques such as immunoprecipitation, ELISA, and RT-PCR is required. Candidates should have extensive experience with mammalian cell culture and transfection techniques.
· Flexibility, adaptability, and multi-tasking in an interdisciplinary, hybrid (internal/outsourcing) and multi-site environment.
· Exceptional interpersonal and communication skills to articulate deliverables, progresses, and issues to the drug discovery team and solicit feedbacks from team members and industrial and academic partners.
· Personal attributes: attention to details while focused on the big picture; ability to scientifically influence and motivate others; a team player who listens effectively and values feedbacks; collaborative, open-minded, data-driven, and creative; persistent, optimistic with can-do spirit.

When submitting your application, please use Requisition Number ENSEM-2022-CB03 in your subject line. Submit your resume and a cover letter by clicking apply now.