Scientific Software Engineer

About Us
RCH Solutions is a rapidly growing global provider of computational science expertise in Life Sciences and Healthcare. Our team rallies around a culture crafted for learning and achievement. We're relentless in our pursuit of innovation and demand of ourselves to deliver a ground-breaking computing experience for our clients so that they can deliver life-saving science to humanity.

Core Values
At RCH, our Core Values are more than just words—they are the threads that weave the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and provide a framework for our growth as people and professionals.

Our Core Values:

• Embrace Excellence: We strive for best-in-class delivery of innovation and service.
• Be Accountable: Integrity, ownership, and accountability are non-negotiables.
• Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
• Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
• Boundaries and Balance: Work-life balance is a core facet of our culture.

If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.

Job Description
RCH Solutions is seeking a Scientific Software Engineer with expertise in Python, C/C++, and Linux scripting who is passionate about applying their software development skills to tackle scientific challenges.

While Life Sciences is dynamic in focus and objectives, priorities for this role center on engineering and deploying software Scientific systems. Beyond delivering software assets, the engineer in this role will collaborate with end-users on requirements and coordinate with other technical team members.

Software engineering technologies include Python, C/C++, and scripting. Linux, hosted on Google Cloud Platform (GCP), is the primary operating environment, but knowledge of Windows and Serverless hosting is also important. A demonstrated track record with Terraform and deploying software in a DevOps model is also key.

Engineering efforts involve developing new software components and working with Research scientists to evolve algorithms and prototypes to production-ready assets.

Specific focuses include:

• Collaborating with RCH team members and customers to engineer and deliver best-in-class Scientific Computing solutions.
• Delivering unmatched software engineering services to help drive scientific innovation.
• Providing expert consulting (solutions consulting) in support of software modernization, software and data integrations, and optimizing software algorithms and components.
• Develop and maintain scientific software applications using Python, C/C++, shell scripts, and likely other languages.
• Implement algorithms and data analysis tools for Research projects.
• Collaborate with researchers to translate scientific requirements into code.

Essential Qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, or a relevant scientific field.
• 5+ years’ experience developing large-scale software systems in Python and C/C++ in the Life Sciences realm.
• Strong proficiency in Python and its scientific libraries (e.g., NumPy, SciPy, Pandas).
• Experience using shell scripting, automation tools, configuration management, and DevOps CI/CD frameworks.
• Orchestration via Terraform.
• Familiarity with version control systems (e.g., Git) and software development best practices.
• A demonstrated track record of success of engineering software targeted for GCP and its platform services
• Superior verbal and written communication skills.

Preferred Qualifications
RCH offers services and solutions tailored to the unique challenges of Advanced Computing in Life Sciences and utilizes teams with cross-functional IT skills to address these challenges. The ideal candidates for this role will possess broader skills than those listed in this job post, specifically including or being capable of quickly learning the following:

• Platform development and administration skills in GCP.
• Experience working in an Agile methodology, Agile certifications a plus.
• Linux administration experience.
• Provisioning automation technologies such as Chef, Ansible, Puppet, or others.
• Experience with data science programming languages such as R.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).

Additional information

Great talent should benefit from a great work environment. If you join our team, you’ll have access to:

• A competitive salary and bonus package based on experience.
• Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
• Company-provided Life and Long-Term Disability Insurance.
• Company-sponsored 401(k) Plan.
• Company-provided continuing education benefit.
• Team-focused culture and unlimited opportunity for advancement.

**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.

**This role will require the candidate to be on-site at our client facility in Boston at least 3 days per week.