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Associate Director, Business Operations DACH

Ultragenyx Pharmaceutical · Berlin, Germany; Germany - Remote

Commercial Berlin, Germany Remote - Germany Posted May 5, 2026

Why Join Us?

Be a hero for our rare disease patients

At Ultragenyx, we fundamentally believe that taking real impactful action to care for the needs of patients and our people is always the right thing to do. To achieve this goal, our vision is to lead the future of rare disease medicine. For us, this means going where other biopharma companies won’t go – challenging the status quo and creating a new model that advances our field so more patients and caregivers can benefit from life-changing treatments. We do this by following the science, applying a novel rapid development approach, making innovative medicines at fair and reasonable prices, and creating a collaborative ecosystem to reach patients in ways that are most meaningful for them.

Our commitment and care for patients extends to our people, so culture is an essential cornerstone for Ultragenyx. We remain continuously focused on creating a supportive and inclusive environment of profound learning and growth – so employees can thrive in all areas of their lives, in and outside of work. Ultimately, we want to be an organization where we would be proud for our family, friends and children to work.

If you want to have a meaningful impact, do the best work of your career, and grow a lot, both professionally and personally, come join our team.

Position Summary:

ultrainnovative – Tackle rare and dynamic challenges

The Business Operations Lead will be responsible for driving the efficient execution of business operations, ensuring alignment between commercial, medical and other operational functions. The individual will work closely with the VP GM to define strategic priorities, improve processes and oversee day-to-day business activities in a fast paced, dynamic biotech organization that covers Germany, Austria and Switzerland. This person should have experience with sales & marketing, financial, supply chain and operational processes. The ideal candidate knows how to navigate the health care systems in the countries of the cluster.

Work Model:

Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed.

Responsibilities:

Operational effectiveness: Identify efficiencies and implement local solutions to improve productivity and scalability in the cluster.
Strategic and tactical planning: Support the VP GM in collaborating with all functions to prepare and execute brand plans, new product launch plans, launch readiness metrics & dashboards, quarterly business reviews and long-range planning. Ensure pull-through of identified EMEA initiatives to local markets.
Go to Market Gene Therapy Operations: Collaborate with the EMEA Gene Therapy launch team(s) to prepare and optimize local (site) readiness for gene therapy launches.
Supply Chain Optimization: Partner with supply chain to enhance and develop product distribution in all markets. Lead and mange Home Delivery and Infusion services.
Project Management: Planning and independent execution of key projects, in particular operational marketing, market mapping and insights management, ensuring timelines, budgets and deliverables are met. Manage project budgets and third-party vendors to ensure optimal resource use. In close collaboration with commercial and medical field teams, develop materials to communicate to key stakeholders about Ultragenyx key products.
Cross functional Cluster leadership and governance support: Support the VP GM in driving agenda preparation, slide preparation and leadership of key strategic operational meetings, offsites and forums.
Compliance & Risk Management: Ensure adherence to local regulations e.g. AMG, BPI/AKG Code of Conduct etc. and mitigating operational risks
Analytics and Insights generation: collaborating with the Regional Analytics team to ensure that maximum benefits are derived from field level interactions.

Requirements:

Education

Bachelor’s degree (required) in:

Pharmacy, Medicine, Biology or Life Sciences, Business Administration or Management

Advanced Degree (preferable) in:

Master of Business Administration (MBA), Masters/PhD in a life science discipline

Certifications (optional):

Project management,

Experience

Industry Experience: 10+ years of experience in biotech, pharmaceutical, or life science industries. Rare Disease experience is highly advantageous.

Leadership Experience: Proven track record of leading cross-functional teams (scientific, commercial, and operational teams). An ability to lead and manage the establishment of local business entities. Experience in developing launch strategies for orphan drugs, particularly gene therapies, is desirable.

Core skills:

Strong understanding of biotech business operating models, market dynamics and regulatory landscape
Familiarity with German health care system
Financial acumen (budget management, financial forecasting, demand planning, KPIs)
Strategic planning and execution
Stakeholder management (internal teams, external vendors)
Excellent communication and negotiation skills)

Technology and Tools:

Familiarity with biotech-specific software and databases (e.g. CRM systems)
Proficiency in data analytic tools and reporting systems

Language Skills

Fluency in German (at least level C1) and English is imperative

Competencies

Strong leadership and decision-making skills.
High attention to detail and results-orientated mindset.
Ability to manage ambiguity in a fast-paced environment.
Collaborative, with strong relationship-building capabilities
Continuous improvement mindset, with a focus on innovation and operational excellence

Location

Based in Germany, with occasional travel to cluster countries (Germany, Austria, Switzerland) and EMEA HQ in Switzerland.

#LI-CT1 #LI-remote

Full Time employees across the globe enjoy a range of benefits, including, but not limited to:

· Generous vacation time and public holidays observed by the company

· Volunteer days

· Long term incentive and Employee stock purchase plans or equivalent offerings

· Employee wellbeing benefits

· Fitness reimbursement

· Tuition sponsoring

· Professional development plans

* Benefits vary by region and country

Ultragenyx Pharmaceutical is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital and veteran status, and any other status or classification protected by applicable federal, state, and/or local laws. Reasonable accommodation will be provided for all protected statuses or classifications protected by applicable law, including individuals with disabilities, disabled veterans, for pregnancy, childbirth, and related medical conditions, and based on sincerely held religious beliefs. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, you may contact Talent Acquisition by emailing us at talentacquisition@ultragenyx.com.

See our CCPA Employee and Applicant Privacy Notice.

See our Privacy Policy.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Note to External Recruiters: All candidate activity and open positions are managed strictly through our Human Resources Department. Our Human Resources Department kindly requests that recruiters not contact employees/hiring managers directly in an attempt to solicit business and present candidates. Please note that failure to comply with this request will be a factor in determining a professional relationship with our organization. Submission of unsolicited resumes prior to an agreement set in place between the Human Resources Department and the recruiting agency will not create any implied obligation. Inquiries on developing a recruiting relationship with us, may be directed to: talentacquisition@ultragenyx.com.

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Biology Data Quality Engineer

Bioptimus · Paris - Berlin - London - EU Remote

Apply now

Research & Technology Bioptimus SAS Posted Mar 13, 2026

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.

About the role

We are looking for a meticulous and detail-oriented Biology Data Quality Engineer to ensure the integrity and usability of the various and complex datasets that are central to our mission. In this critical role, you'll leverage your expertise in biology, data science, and machine learning to ensure the quality and consistency of biological data used to train and evaluate our foundation models. You'll work in collaboration with the R&D team and our engineers, using your skills to ensure our data meets the highest standards.

What you'll be doing

As a Biology Data Quality Engineer, you will own the following tasks:

Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical). Ensure data integrity, consistency, and accuracy through rigorous quality checks. Design and implement automated data quality pipelines to streamline data validation and identify potential issues early in the data processing workflow.
Data Curation & Standardization: Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types. Curate datasets to enhance their usability for machine learning.
Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns. Communicate data quality findings and recommendations effectively to technical and non-technical stakeholders. Communicate and synchronize with external data providers.
Documentation & Reporting: Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications. Generate regular reports on data quality metrics and trends.
Data Source Evaluation: Evaluate and validate external public data sources, ensuring they meet our quality standards and are suitable for inclusion in our foundation model training.
Continuous Improvement: Stay up-to-date with the latest data quality best practices and tools in the biological domain. Propose and implement improvements to our data- quality assessment processes and pipelines.

What you'll bring

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring strong domain expertise in biology alongside strong computational, hands-on skills.

Omics Data Expertise. Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
Data Quality Management: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.
Programming & Data Analysis: Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib).
Communication Skills: Excellent written and verbal communication skills to effectively convey data quality findings and recommendations.
Educational Background: MSc in Biology, Computational Biology, Bioinformatics.

How to stand out:

Computational Pathology Data Expertise: Experience in machine learning analysis of histology images.
Cloud expertise: Experience working with AWS.
Data Annotation Experience: Experience with developing and implementing data annotation guidelines and processes. Experience with data ontologies.
Proven experience building or contributing to large-scale data collections (e.g. Human Cell Atlas).
Spatial alignment of multimodal datasets (e.g. alignment between different imaging modalities)

The candidate journey

To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.
Technical Assessment: Given the technical nature of the role, you will be invited to complete a timed (up to 1 hour and 30 minutes) technical assessment on a dedicated platform. This stage consists of a short set of Python exercises designed to assess your coding proficiency.
Interviews:
- Hiring Manager (30 min): A call with the Hiring Manager to discuss your background, motivation, and expertise. This will include a deep dive into your technical skills, including your experience with coding and cloud environments.
- Data Curation Project (Take-home): Based on the outcome of the previous call, you will be assigned a Data Curation homework. This assignment covers one or more key data modalities and consists of the submission of Python code and a detailed report about your work.
- Assignment Presentation & Technical Q&A (60 min): You will present your take-home assignment to a broader team. You are also welcome to include a brief presentation of your past experience. This session consists of a 30-minute presentation followed by a 30-minute Q&A to discuss your homework and probe your deeper technical expertise.
- Executive Interview (30 min): A comprehensive discussion with our Senior Leadership. This session moves beyond technical competency to focus on long-term vision, values, and mutual potential.
Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you.
Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus.

Why This is a Unique Opportunity

You will:

Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
Work in a collaborative, innovation-driven environment with top researchers and industry experts.

And benefit from:

A collaborative and mission-driven work environment.
Competitive salary and equity package.
Flexible work arrangements, including remote options.
Opportunities for professional growth and leadership development.
Shape the future of biology and AI by contributing to groundbreaking work.

We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.