Senior Scientific Software Engineer (Visualization)

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale biological and chemical data, enabling deeper understanding of molecular behavior and the identification of novel therapeutic opportunities. Despite advances in these fields, however, transforming raw data and computational models into meaningful insights remains a key challenge. In this role, you'll work at the intersection of data science, genomics, and engineering to build innovative analytical tools that bridge the gap between data generation and interpretation, helping unlock new avenues for scientific discovery and impact.

The Opportunity:

We are seeking a Senior Scientific Software Engineer to develop analytical and visualization-driven tools to support the identification and qualification of drug targets. In this role, you will collaborate closely with cross-functional partners to translate computational methods and biological data into intuitive user experiences that enable scientists to explore evidence, test hypotheses, and evaluate new targets.

Your work will include:

• Partnering directly with biologists, computational scientists, and AI researchers to understand analysis workflows, including ambiguous or evolving scientific needs, where biological hypotheses, data quality, and sources of evidence are actively being evaluated and refined.

• Identifying, evaluating, and applying emerging technologies to analyze and visualize diverse omics, biochemical, and biophysical datasets in support of drug discovery and development.

• Designing and implementing intuitive analytical tools that allow scientific teams to access, share, and interpret heterogeneous sources of biological evidence, abstracting technical complexity while enabling scientific insight.

• Collaborating across distributed scientific, engineering, and design teams to support the evolution of analytical tools, from early exploratory analyses through robust applications.

Who you are:

• A PhD in a computational biological discipline with 0-2 years of experience, or a BS/MS with 4+ years of relevant industry experience.

• Strong analytical intuition for reasoning about complex biological datasets in experimental contexts, integrating evidence across modalities to support scientific decision-making.

• Demonstrated experience turning messy, high-dimensional biological data into interpretable signals that inform biological hypotheses.

• Experience using Python- or R-based tools for data analysis and visualization (e.g., Altair, Seaborn, Bokeh, Streamlit, Dash; ggplot2 or Shiny), with the ability to design static and interactive visualizations that communicate insights and support scientific interpretation, discussion, and decision-making.

• Comfort working at the interface of biology, data science, and computation, translating analytical results or model outputs into interpretable insights that inform experimental scientists and drive data-driven discovery.

• Experience collaborating closely with multidisciplinary teams in exploratory, pre-standardized problem spaces, where questions, data, and success criteria evolve over time.

• Familiarity with modern web frameworks and interactive, data-rich visualization libraries such as D3.js or Plotly.

• Curiosity, a growth mindset, and enthusiasm for developing new skills while collaborating across diverse, multidisciplinary teams.

Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $142,500 - $264,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

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Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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