Rancho BioSciences

Role Description At Rancho BioSciences, we're expanding our network of exceptional Full Stack Developers to support upcoming client initiatives across the life sciences industry. We're looking for professionals who thrive on building innovative, data-driven technology solutions while fostering strong client relationships. As new opportunities arise, qualified candidates from our talent network will be considered for full-time, part-time, and project-based consulting engagements, providing the opportunity to contribute to impactful work with some of the world's leading pharmaceutical and biotechnology organizations. - Design and implement high-quality, scalable technical solutions for client projects - Translate business and/or functional requirements into sound engineering designs - Own the delivery of technical components or workstreams with minimal supervision - Troubleshoot and resolve complex technical issues across systems and environments - Evaluate technical options and recommend effective solutions that balance performance, cost, and maintainability - Collaborate directly with clients to clarify requirements and validate assumptions - Communicate technical concepts clearly to working team - Contribute to client-facing deliverables, such as design documents, demos, and presentations - Work collaboratively with architects, project managers, and other members of the consulting team to deliver integrated solutions - Collaborate with client and Rancho teams to design and deliver components and solutions with high quality - Follow and help enforce engineering best practices, code quality standards, and security guidelines - Ensure deliverables meet both client expectations and internal quality benchmarks Qualifications - 5+ years' experience in a developer role with similar experience - Bachelor's degree in computer science or similar field; Masters degree preferred - Experience in Life Sciences (Biology, Clinical Sciences, Chemistry) is preferred - 4+ years of experience designing and implementing production-grade solutions in a modern technology stack (Python, SQL, dbt, React, Vue, TypeScript, AWS/Azure/GCP) - Strong proficiency in at least one core engineering domain (software/application, data, or cloud engineering) - Fluency in all aspects of pipeline development - Experience with agile development process - Expertise on back-end development with Python and/or Java - Expertise in Javascript framework such as Angular and/or REACT - Experience with relational and NoSQL Databases (MySQL, Postgres, MongoDB, Couchbase, etc.) - Experience with Docker, Kubernetes - Experience with Version Control, build automation and CI/CD tools - Experience with system integration and APIs - Excellent communication skills both verbal and written - Demonstrated experience with teamwork and collaboration amongst multiple teams - Must understand sense of urgency and have prioritization skills - Experience in a fast-paced, growing organization - Must be flexible and willing to change with quick turnarounds Requirements - Familiarity with emerging technologies in R&D, including AI/ML in drug discovery, real world evidence (RWE), and digital clinical trials - Experience with data platform design (Snowflake, Databricks, Redshift/Athena, BigQuery, etc.) - Experience with automation systems/software - Experience in the chemical synthesis space - Understanding and practical working experience of pharma data (omics, chemical structures, biologics, etc.)

Role Description As we continue to grow, Rancho BioSciences is seeking an experienced and dynamic R&D Consulting Principal to join our team. This role is critical in driving results across multiple projects, ensuring successful execution, strategic alignment, and effective team collaboration. The R&D Consulting Principal will oversee and drive engagements in data-related and technology-driven projects while maintaining strong client engagement and operational efficiency. - Manage and lead consulting projects focused on establishing data strategies, optimizing R&D processes, and accelerating time-to-market for life sciences clients. - Lead cross-functional teams to deliver data-driven insights, operational improvements, and digital transformation strategies within R&D functions. - Collaborate with senior client stakeholders to identify pain points, develop solutions, and implement industry best practices in drug discovery and clinical trials. - Drive project execution, ensuring milestones, budgets, and deliverables are met while maintaining a high level of client satisfaction. - Lead and facilitate interviews and workshops with key stakeholders, focusing on data-driven decision-making, analytics strategy, and technology adoption in R&D. - Create high quality presentations, reports, and financial models to support client engagements. - Support business development efforts, including proposal writing, client discussions, and identifying new consulting opportunities. Qualifications - 5+ years of experience in management consulting with a focus on Life Sciences R&D, working with pharmaceutical or biotech companies. - Experience leading consulting engagements and managing cross-functional teams in a client-facing environment, ensuring successful project execution. - Strong problem-solving and analytical skills, with the ability to interpret complex data, develop strategic recommendations, and drive implementation. - Excellent communication and stakeholder management skills, with the ability to engage with senior executives, facilitate workshops, conduct interviews, and create/deliver compelling presentations. - Experience in defining epics, features, and user stories to support digital transformation initiatives, technology implementations, and process improvements in Life Sciences R&D. Requirements - 5+ years of experience in management consulting with a focus on Life Sciences R&D, working with pharmaceutical or biotech companies. - Experience leading consulting engagements and managing cross-functional teams in a client-facing environment, ensuring successful project execution. - Strong problem-solving and analytical skills, with the ability to interpret complex data, develop strategic recommendations, and drive implementation. - Excellent communication and stakeholder management skills, with the ability to engage with senior executives, facilitate workshops, conduct interviews, and create/deliver compelling presentations. - Experience in defining epics, features, and user stories to support digital transformation initiatives, technology implementations, and process improvements in Life Sciences R&D.

Role Description As we continue to grow, Rancho BioSciences is seeking an experienced and dynamic R&D Consultant or Consulting Associate to join our team. This role is critical in driving results across a project, ensuring successful execution, strategic alignment, and effective team collaboration. This individual will support and/or drive client engagements in data-related and technology-driven projects, while maintaining strong client engagement and operational efficiency. Key Responsibilities - Conduct research, data analysis, and benchmarking to support client engagements in pharmaceutical, biotech, and medical device R&D. - Assist in developing recommendations for process improvements, technology adoption, and data strategy enhancements for life sciences organizations. - Work closely with clients and project teams to gather business requirements, analyze industry trends, and deliver actionable insights. - Prepare presentations, reports, and strategic roadmaps to communicate findings and recommendations to clients and internal teams. - Support project execution by coordinating stakeholder meetings, tracking deliverables, and contributing to the overall engagement. Qualifications - Experience in management consulting with exposure to pharmaceutical, biotech, or medical device R&D. - Strong analytical and problem-solving skills, with the ability to synthesize complex data, conduct market research, and support strategy development. - Experience in R&D operations, drug discovery, or clinical development, with an understanding of key industry challenges and trends. - Proficiency in PowerPoint and Excel, with the ability to develop high-quality presentations, reports, and financial models to support client engagements. - Excellent communication and collaboration skills, with the ability to work in cross-functional teams, interact with clients, and contribute to project deliverables. Requirements - Advanced degree (PhD, MBA, or MS) in a Life Science related field. - Experience in defining epics, features, and user stories to support digital transformation initiatives, technology implementations, and process improvements in Life Sciences R&D. - Familiarity with emerging technologies in R&D, including AI/ML in drug discovery, real-world evidence (RWE), and digital clinical trials. - Prior experience in business development support, such as assisting in proposal writing, competitive analysis, or client presentations. Note: If you have some, but not all of the experience requirements posted, we encourage you to apply. In some cases, the difference will determine the level at which you qualify to join the team - not an immediate knock-out of your candidacy.

Role Description We are seeking an experienced Pathology Research Scientist to join us on a part-time, contractor basis. This individual will provide subject-matter expertise across biomarker discovery, diagnostic development, and computational pathology initiatives, supporting programs spanning translational research through clinical development. The role requires deep expertise in surgical pathology, digital pathology, and tissue-based assays, and close collaboration with internal and client-facing teams in biomarkers, histotechnology/platform science, data science, and AI/ML. The Pathology Research Scientist will help ensure scientific rigor, clinical relevance, and regulatory-appropriate practices across multiple drug development and diagnostic programs. The role will be fully remote; however, preferred applicants are based on the US East Coast, Western Europe, or in the Asia-Pacific Region. What you'll do - Serve as a pathology subject-matter expert (SME) for biomarker and diagnostic programs, including companion diagnostics, molecular pathology, digital pathology, and associated data science services. - Provide scientific guidance through critical literature review and synthesis of primary source data, including peer-reviewed publications, disease staging and grading systems, and established pathology reference standards. - Support computational pathology and AI/ML initiatives by translating clinical and histopathologic knowledge into actionable guidance for model design, training, validation, and interpretation. - Define disease- and indication-specific annotation guidelines, including relevant tissue compartments, cellular features, morphologic patterns, and common technical artifacts. - Perform or review digital slide annotations using validated platforms; provide peer review, quality control, and written validation of human- and algorithm-generated annotations in accordance with project requirements. - Support computational pathology and ML/AI teams through the translation of clinical and histopathologic knowledge into actionable guidance for model development, validation, and deployment. - Collaborate cross-functionally to ensure pathology-derived outputs are clinically meaningful, analytically sound, and fit-for-purpose within research and development workflows. Qualifications - MD/DO, MBBS, or equivalent, with board certification or board eligibility in Anatomic Pathology (AP) or Anatomic and Clinical Pathology (AP/CP). - Surgical pathology subspecialty training or certification strongly preferred. - Experience in clinical trials, translational research, or drug development & creation strongly preferred. - Demonstrated experience working within cross-functional, multi-stakeholder project teams with successful delivery against multiple competing priorities and quick turnaround expectations. - Hands-on experience with digital pathology platforms and AI-enabled or computational pathology workflows strongly preferred. - Demonstrated ability to draft, review, and quality-check research protocols and procedural documents with attention to detail and scientific rigor. - Ability to work within sponsor-provided systems, environments, and data governance requirements. - Advanced degree (e.g., MS, MPH, or PhD) in a life sciences discipline is a plus.