Sr./Principal Scientist, Computational Chemistry

Recludix Pharma; Cambridge (MA); On-site; USD 145,000 - 200,000; Full time

Job summary

An established industry player is on the lookout for a highly skilled computational chemist to join their dynamic team in a cutting-edge biotechnology environment. This exciting role involves leveraging advanced molecular dynamics and innovative modeling techniques to drive drug discovery efforts. As a key contributor, you will collaborate closely with experts in medicinal chemistry and biology, making significant impacts on the development of groundbreaking therapies for autoimmune diseases and oncology. If you are passionate about advancing science and eager to make a difference in patients' lives, this opportunity is perfect for you.

Benefits

Stock Options

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Plan with Company Match

Qualifications

• 3+ years in Pharmaceutical/Biotechnology industry.
• Expertise in molecular modeling and drug design.
• Proficient in high-performance computing environments.

Responsibilities

• Collaborate with multidisciplinary teams for drug design.
• Perform molecular modeling and simulations.
• Summarize findings and present to project teams.

Skills

Molecular Docking

Structure-Based Ligand Design

Pharmacophore Development

Scientific Programming (Python)

Data Analytics

Excellent Communication Skills

Education

Ph.D in Computational Chemistry

M.S in Theoretical Chemistry

Tools

CCG

KNIME

PyMOL

AWS

Job description

Sr./Principal Scientist, Computational Chemistry

Sr./Principal Scientist, Computational Chemistry

Recludix Pharma is a venture capital-funded biotechnology company located in San Diego, California and Cambridge, Massachusetts.We are engaged in small molecule drug discovery for the treatment of targeted patient populations in autoimmune disease and oncology. Recludix Pharma is looking for experienced candidates who desire to work in a dynamic early-stage startup environment as a member of our San Diego/Cambridge team.

Job Summary:

We are seeking a highly skilled computational chemist to advance drug discovery using advanced molecular dynamics (MD) simulation methods. The ideal candidate will have demonstrated experience impacting drug discovery programs, leveraging cutting-edge physics-based modeling and modern generative methods to accelerate molecular discovery. As a key contributor you will collaborate with medicinal chemists, structural biologists and biologists to advance groundbreaking medicines.

Responsibilities:

• Work as a key member of a multidisciplinary team of medicinal chemistry, structure biology, discovery technologies, and biology and guide the team by providing computational expertise in structure-based drug design.
• Perform classical molecular modeling tasks such as MM optimization, equilibrium and accelerated MD simulations, in-silico docking, FEP calculations, etc.
• Utilize advanced computational techniques and tools to design and optimize new drug candidates and drive decision-making in drug discovery.
• Provide project teams with computational strategies to inform, influence, and prioritize designs for potency/selectivity, structure-activity relationships, methods to understand on- and off-target activity, physicochemical property-driven lead optimization, and generation of predictive models.
• Integrate DNA-encoded library (DEL) analysis capabilities with computational workflows to expand hit finding capabilities.
• Summarize your work and present actionable conclusions to interdisciplinary teams of structure biology medicinal chemists, and biologists at internal meetings.
• Advancing our modeling capabilities through invention, implementation, and application of new methodologies

Qualifications:

• Ph.D or M.S with equivalent experience level in Computational Chemistry, Theoretical Chemistry, Biophysics, Machine Learning, or a related field with a minimum of 3+ years of Pharmaceutical / Biotechnology industry experience
• Expertise in a broad variety of computational techniques is essential, particularly molecular docking, structure-based ligand design and optimization, pharmacophore development.
• Proficiency in state-of-the-art commercial and open-source software tools (e.g., CCG, KNIME, PyMOL)
• Experience working with high-performance computing (HPC) environments and cloud platforms (AWS, etc.).
• Skilled in scientific programming (e.g. Python, Pipeline Pilot), data analytics, database-related skills and familiarity with the Linux command-line environment.
• Excellent communication, interpersonal and organizational skills are essential.

Further Information:

Salary range: $145,000 - $200,000

In addition to a competitive compensation package with stock options, Recludix Pharma also offers a comprehensive benefits package for our employees and their families, which includes medical, dental, vision, life insurance, disability insurance and a 401(k) plan + company match.

Recludix Pharma is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Recludix Pharma is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

To be considered as an applicant, please submit your resume/CV referencing the specific position of interest and position code to [e-mail]. Applicants whose qualifications and experience most closely match the requirements of the position will be reviewed. Candidates will only be contacted for evaluative discussions.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research

• Industries

  Pharmaceutical Manufacturing and Biotechnology Research

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