About the role

Aplyr's Quick Take

This role is for a Solutions Architect who will work closely with customers to implement and optimize molecular modeling and informatics applications. You'll be hands-on with software deployment, integration, and troubleshooting in cloud environments, requiring a mix of technical skills and customer interaction.

Good fit

Ideal candidates are engineers with experience in workflow automation, data management, and cloud technologies, particularly those who enjoy problem-solving and learning on the job. Strong communication skills and a collaborative mindset are essential.

Worth noting

The company values adaptability and a willingness to learn, so you don't need to be an expert in every area listed. The role may require occasional travel to customer sites, which could be a plus or a minus depending on your preferences.

We’re seeking a Solutions Architect to join us in our mission to revolutionize the discovery of therapeutics and materials.

As a member of our Enterprise Informatics team, you’ll work directly with top-tier customers, scientists, and developers to deploy, configure, and tune the company's high-end suite of molecular modeling and enterprise informatics applications and related systems. The key focus will be on novel and emerging solutions that integrate various digital platforms, software, and data management tools & platforms, to streamline the complex, high-throughput workflows involved in the discovery of Biologics for therapeutic applications. You’ll also maintain scientific computing resources and work with highly-skilled individuals in technically challenging software environments. In your conversations with our Product Managers, you’ll be the voice of the customer!

If you don’t consider yourself an expert in all of the fields below, that’s OK - we’re looking to hire an adaptable polymath who’s excited to learn on the job. Our highly collaborative team will be happy to help you get up to speed in any unfamiliar areas.

Who will love this job:

A passionate engineer who has worked on workflow automation via web-based applications (e.g., REST APIs, SAML/SSO backends, containerized workloads)
A data wrangler with a background in unified data management, who crafts ETL pipelines to manage complex data with multiple sources and destinations (e.g., SQL databases, JSON, flat files)
A cloud computing expert who’s familiar with Kubernetes technologies on at least one major cloud provider (e.g., AWS)
A problem-solver with excellent Linux diagnostic and troubleshooting skills in cloud environments, with good proficiency in writing code and scripts (e.g., Python, bash)
A quick learner who’s driven to investigate and solve emergent issues in multiple production critical environments and, on occasion, open to availability on a flexible schedule
An excellent communicator who’s willing to go the extra mile to help our customers and travel to customer sites

What you’ll do:

Ensure that our enterprise informatics software performs optimally in the customer cloud environments
Design, develop, implement and support optimal solutions for integration with customers' Biologics discovery workflows, research data systems and platforms
Help customers solve thorny technical issues by cooperatively building creative, customized solutions, while iterating on a fast schedule
Work closely with customers on installation, configuration, and update/maintenance of our cloud-hosted software and platform deployments that demand excellent technical expertise
Collaborate with product managers, scientists, and software developers to improve the deployment, support, configuration and features of our applications

What you should have:

Research data management background in the pharmaceutical industry (or similar scientific data space) with a focus or specialization in Biologics data
Experience with Biologics discovery platforms, data representations (e.g., HELM) and ETL pipelines for Biologics
A background in life sciences and/or physics (a formal academic background in the classical sciences is a huge plus!)
Open to occasional flexibility of schedule and availability for travel to customer sites

We’d prefer to hire someone who has:

Clear grasp of data wrangling, data science or machine learning, as applied to Biologics research & discovery
A greater-than-end-user's understanding of Biologics informatics systems and platforms
Willingness for occasional travel to Schrödinger's offices and customer sites within the US

Pay and perks:

Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have catered meals in the office every day, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Administrative and Human Resources departments also plan a myriad of fun company-wide events.

Estimated base salary range: $105,000 - $155,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.

Sound exciting? Apply today and join us!

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, sexual orientation, or any other protected characteristic. 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.

Skills & Tags

python go aws kubernetes machine learning ai backend data

Aplyr's read

Schrödinger leverages computational modeling to innovate in drug discovery and materials science, attracting scientists and tech experts passionate about cutting-edge research.
Synthesized from recent postings & public sources

What's promising

•Schrödinger is at the forefront of computational drug discovery, offering significant innovation potential.
•The company provides a collaborative environment for scientists and technologists to solve complex problems.
•Schrödinger's global presence allows for diverse career opportunities across various scientific and technical roles.

What to watch

•High reliance on computational methods may limit applicability in some real-world scenarios.
•The niche focus on modeling requires specialized skills, potentially narrowing job applicant pools.
•Rapid technological changes in biotech could outpace Schrödinger's current capabilities.

Why Schrödinger

•Schrödinger integrates advanced computational techniques with traditional scientific methods.
•The company's dual focus on drug discovery and materials science is relatively rare in the industry.
•Schrödinger's software solutions are pivotal in reducing time and cost in the R&D process.

Aplyr’s read is generated by AI from public sources. Was it useful?