Scientist/ Associate Scientist (lab based)

Boston · Full-time · Senior

About The Position

DeepCure is seeking a highly-skilled, well-organized, and motivated Junior Scientist/Laboratory Technician to join and strengthen our Discovery team, working at our Boston based lab space, in the heart of downtown Boston. The successful candidate will have a unique opportunity to have a significant impact on redefining drug discovery by collaborating with our global team of researchers who are applying our transformative Artificial Intelligence (AI) platform to the development of novel therapeutics.  

More about DeepCure:

DeepCure is a next-generation therapeutics company, built from the ground-up with equal importance to computation and life-sciences. Our mission is to deliver to patients safer and more efficacious therapeutics that are extremely unlikely to be discovered by traditional drug discovery pipelines. We are a team of curious, multidisciplinary, and impact-driven professionals on a quest to redefine the way drugs are discovered. Our US headquarters is located in Boston, and his position is based in our downtown Boston lab space, and requires working full time in the lab.


Basic requirements: 

  • M.S. in a biology-focused field, and 5+ years of relevant experience, or  B.S. and 7+ years of relevant experience. Relevant experience includes working with tissue culture and primary cells, development cell-based and biochemical assays, immunological assays (FACS, ELISA), molecular and biochemical methods (RT-PCR, Westen blot)
  • Scientific expertise in cellular biology and immunology-related methods
  • Strong collaboration skills, with the ability to work effectively within a global and diverse team of internal and external co-workers
  • Excellent written and verbal communication in English
  • Creative approach to solving challenging problems
  • Excitement about the vision and mission of DeepCure to redefine drug discovery through innovation

A perfect candidate has: 

  • Strong self-derived motivation for experimental work using innovative as well as traditional set-ups and methodologies to support drug discovery programs. 
  • Expertise in using electronic notebook and other commonly used laboratory platforms. 
  • Ability and desire to work collaboratively on complex problems – engaged with a diverse group of scientists, integrating data from multiple disciplines
  • Experience in small molecule drug discovery in a biotech or pharmaceutical setting


In this role you will:

  • Design, develop and execute experiments using many different cellular, immunological and biochemical methods
  • Work with traditional drug discovery experimental setting
  • Be responsible for lab administration and orders of equipment and reagents
  • Scientific documentation including protocols, reports and presentation of the exprimental work


For the right candidate, we'll offer a competitive salary and a generous equity grant. Your compensation is rounded out by a strong benefits package:

  • A leadership team that values and prioritizes your professional development
  • Flexible work hours
  • Unlimited paid leave and sick time
  • 401(k) plan with employer matching 
  • Healthcare, vision, dental, and life insurance plans for you and your dependents
  • FSA with employer contribution 
  • Generous parental leave 
  • Great culture and environment that respects your work-life balance. 
  • Tax-advantaged commuter benefits for public transportation or parking next to our Boston downtown office. 
  • Work in a cool and vibrant space at the heart of Boston or anywhere else in the US. 

“Brainstorming on my challenges with all these amazing brains deserves a shout-out every sprint” (Jon, a member of our Machine learning team).

Most importantly, you'll have a huge impact, do important work, and work with a team of people you'll genuinely enjoy spending the day with.

DeepCure is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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Molecular Foundry

Manual synthesis dramatically stifles innovation in drug discovery for many reasons, including (i) substantial time costs, (ii) high FTE costs, (iii) low synthesis success rates (20-34%), and (iv) a bias towards known reactions.

At DeepCure, we are fixing these problems to unlock the vast chemical space that AI drug design tools want to explore, but don’t, because manually synthesizing such compounds would not be practicable.

Automated Robotic Custom Synthesis

Manual synthesis dramatically stifles innovation in drug discovery for many reasons, including (i) substantial time costs, (ii) high FTE costs, (iii) low synthesis success rates (20-34%), and (iv) a bias towards known reactions. 


At DeepCure, we are fixing these problems to unlock the chemical space that AI drug design tools want to explore but can’t because it is not practicably available to most chemists.














made possible with automated analytical evaluation, purification, evaporation, etc.

made practicable with automated reaction development

made feasible with miniaturization & quick turnaround (2-10 days)

Notes: 1 4+ by Q2 2024. 2 Planned to reach by end of 2024.


Our molecular generation tool, MolGen™, designs novel, diverse compounds. Using state-of-the-art deep reinforcement learning (RL), MolGen™ constructs synthesizable compounds with features that capture the important molecular interactions for binding and selectivity, as well as deliver the desired ADME-tox profile of the target candidate profile (TCP).

Output of PocketExpander™

MolGen™ – building & iterating compounds

Novel, potent, & selective compound

Hypothesis Generation

Unlike other AI drug discovery companies, DeepCure does not use AI to simply match a library of compounds to a known pocket. Instead, we use our patent-pending AI methods to create causal, data-driven, human-interpretable hypotheses for binding to a given protein target. This enables us to go beyond known binding sites and ligands.


Our hypothesis generation starts with a rigorous analysis of available structural information. Beyond the standard steps involved in structure preparation, our proprietary protocols also include methods for repairing structures (e.g. building missing loops) and generating more robust structures leveraging molecular dynamics (MD).


For most therapeutic targets, there is no data, limited data, or biased data. PocketExpander™ allows us to generate novel hypotheses by leveraging AI/ML and computational chemistry methods to map the protein surface and identify novel binding modes (shown as colored dots). The outputs serve as the blueprints for our molecular generation tool, i.e. MolGen™.

Causal Analysis

ML methods for drug discovery typically focus on correlations, which lead to biases for the types of compounds that have previously failed in discovery. In contrast, DeepCure uses a causal ML approach to find binding interactions without the biases for fruitless binding modes to design truly novel compounds.

Medicinal chemists engage in a conversation with explainable models

DeepCure’s platform is designed to be human-interpretable. By seeing how molecules are predicted to interact with the protein, scientists can make rational design changes to the molecule and explore interesting molecular interactions – ensuring we don’t blindly follow the ML algorithm or chemists’ intuition.