Senior Scientist I (Science & Technology Support Team) - Hyderabad

Schrödinger is a leading technology company that develops state-of-the-art chemical simulation software for pharmaceutical, biotechnology, and materials science research. Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. We set the record for the largest scientific cloud computing run, and our software suites continue to transform the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the applications we’ve created.

We are looking for a resourceful candidate to join our team based out of the firm’s office in Hyderabad, India. The position requires providing instant and thorough scientific support to customers worldwide.  

WHO WILL LOVE THE JOB:

• A computational chemist/biologist/pharmacist with experience in the area of drug discovery/pharmaceutical/medicinal applications of molecular modeling software tools like Schrodinger, AMBER, CHARMM, NAMD, Gromacs etc.
• A strong problem-solver who’s familiar with high-performance computing clusters and queuing systems
• A keen Python programmer and shell scripting experience
• A quick-thinking customer supporter who enjoys helping others solve problems
• An excellent communicator with impeccable interpersonal and organizational skills

WHAT YOU’LL DO DAY-TO-DAY:

• Aid the Schrödinger community with scientific and technological advice and support
• Guide technical deployment of Schrödinger software in high-performance computing environments (which include clusters, cloud platforms, and GPUs)
• Provide pre-and post-sales, scientific, and software support for Schrodinger products
• Respond promptly over email to queries posed by customers from the global scientific community within a shift system
• Collaborate with the scientific team and sales team to resolve customer issues and provide scientific guidance
• Engage in computer-aided cutting-edge scientific research
• Channel feedback to the development team
• Work in one or two night shifts in a year, one month is mandatory.

WHO WE’RE LOOKING FOR:

• A Ph.D. in Computational Chemistry/Biology/Pharmacy or post Ph.D. with zero to two years of relevant experience in the area of  computer-aided drug designing or Master’s degree in Chemistry/Organic Chemistry/Bioinformatics/Pharmacoinformatics with a minimum of 4 to 5 years of industry experience in computer-aided drug designing
• Exposure to tools like Schrodinger, AMBER, GROMACS, Cresset, NAMD,  or any  other relevant computational tools
• A desire to publish scientific papers, if possible
• Exposure to IT, familiarity with Linux environment, and should be comfortable with either of Bash, Python or R
• A team player with skillful verbal and written communicator
• A self-starter who enjoys solving problems, can think innovatively and troubleshoot when required

Our mission is to improve human health and quality of life through the development, distribution, and application of advanced computational methods. 

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.