Position

Manifold Bio is seeking an exceptional Computational Scientist to join our growing Quantitative Biology team. You will work closely with experimental scientists to design and analyze highly multiplexed protein library experiments. You will specifically be working with traditional phage and yeast display readouts, as well as other proprietary display data. You will be expected to own and independently advance projects in areas related to your deep expertise such as protein design, DNA library design, or machine learning/biophysical modeling from MPRA data. You will work closely with our Head of Platform and our other computational scientists to onboard new capabilities that advance the M-Design platform for data-driven engineering of drugs with desired properties.

Responsibilities

• Invent new quantitative protein engineering assays working with experimental scientists
• Build robust data pipelines with rich metrics and statistics for real-time dataset analysis and reporting
• Perform analysis and "hit calling" support, contributing new insights to active projects
• Improve library design workflows to best co-optimize antibody libraries for enhanced performance
• Write and contribute robust code in shared libraries for common protein design tasks
• Collaborate on designing high-throughput experiments and analyze/interpret results from phage display (biopanning, phi-seq, in vivo) and yeast display platforms
• Deliver high-quality data reporting through slides and documentation for cross-functional teams
• Proactively share findings with colleagues through excellent documentation and discussions

Required Qualifications

• PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, protein engineering, antibody engineering, or similar field working with biological sequences
• Rich experience with Python, agentic coding, data pipeline development
• Familiarity with version control, test-driven development, and Unix computing
• Strong antibody engineering background with first-hand experience in antibody design, optimization, or discovery
• Experience with massively parallel reporter assays (MPRAs) and high-throughput screening data analysis
• Experience designing DNA libraries for binders, DMS, phage display, or equivalent high-throughput experiments
• Experience working with Next Generation Sequencing (NGS) data from library-based experiments
• Strong understanding of statistics fundamentals and data analysis methodologies
• Outstanding written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Intuition or exposure to best practices in software/data engineering
• Industry experience in antibody therapeutic development or biotechnology R&D
• Track record of developing computational tools or pipelines adopted by experimental teams
• Experience mentoring junior scientists or leading cross-functional project teams
• Publications or patents in antibody engineering, protein design, or high-throughput screening methods
• Familiarity with cloud computing platforms (AWS, GCP) and containerization technologies

This Role Might Be Perfect For You If

• You thrive in collaborative environments where computational insights directly guide experimental decisions
• You're energized by translating complex datasets into actionable recommendations for drug discovery teams
• You enjoy building robust, production-quality tools that others rely on for critical decisions
• You're passionate about the therapeutic potential of engineered antibodies and want to accelerate their development
• You love working at the intersection of cutting-edge computational methods and innovative experimental platforms

Base Salary Range: $118,000-138,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

If you’re excited to build a platform that combines these technologies to revolutionize how protein therapeutic discovery happens, please reach out to careers@manifold.bio.

We are seeking a Dynamics 365 Finance & Operations (D365 F&O) Developer with 3–5 years of experience designing, developing, and supporting solutions within the D365 F&O platform.  This role will focus on configuration, customization, and development within D365 F&O to support finance and accounting operations. 

The developer will work on initiatives such as optimizing accounting workflows, configuring new legal entities, developing localizations, and building financial reporting solutions to support business requirements across regions.  In addition, this role will provide day-to-day administrative support for the platform and collaborate with finance and business stakeholders to deliver scalable ERP solutions. 

Responsibilities 

• Design, develop, and implement solutions within D365 F&O. 

• Configure and customize system functionality to support finance and accounting processes. 

• Optimize and automate accounting workflows within the platform. 

• Support and enhance financial reporting using Management Reporter. 

• Configure and manage legal entities, security roles, and system settings. 

• Develop and maintain localizations to support local business and regulatory requirements. 

• Work with Microsoft’s Common Data Model (CDM) and Data Management Framework (DMF) and data entities to support integrations, data consistency, and custom reporting. 

• Provide day-to-day system administration and user support, including troubleshooting and issue resolution. 

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions. 

• Support system enhancements, integrations, and platform upgrades. 

Qualifications 

• 3–5 years of experience developing solutions in D365 F&O with a working knowledge of its architecture. 

• Experience with D365 F&O configuration and customization, including extensions and integrations. 

• Strong proficiency and development experience with X++. 

• Experience supporting financial reporting with Management Reporter. 

• Experience developing localizations within ERP systems. 

• Working experience with Microsoft Common Data Model (CDM) and Data Management Framework (DMF). 

• Understanding of ERP financial modules and accounting workflows. 

• Knowledge of integrations using REST / SOAP 

• Strong analytical, troubleshooting, and communication skills. 

Preferred 

• Experience with Power Platform (Power Apps, Power Automate) and Azure Services. 

• MB-500 certification (Dynamics 365: Finance and Operations Apps Developer Associate).