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Senior Machine Learning Engineer (Remote)
Veeva Systems
Netherlands - Amsterdam
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

We are an AI team supporting the entire suite of link data products (e.g., Link Key People). Agility and quality are our operating principles in developing cutting-edge ML models. Our ML models are trained by data captured by a massive group of over 1900 subject-matter experts. ML models complement the curational pipeline and scale our solutions to different regions, languages, and therapeutic areas. Ultimately, we accelerate clinical trials and equitable care. We are proud that our work helps patients to get their most urgent care sooner. See us in this video and learn why you may prefer to join us here.

What You'll Do

    • Technical lead for ML-Ops
    • Develop and manage ML infrastructures and CICD pipelines to support multiple data products
    • Provide engineering mentorship and guidance to data-scientists
    • Collaborate with ML engineers, data scientists, data engineers, and product and operation teams
    • Develop, integrate, and optimize end-to-end AI pipelines by a data-driven approach
    • Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
    • Collaborate with data quality teams to build data annotation/evaluation pipelines, monitoring, and dashboards

Requirements

    • Strong collaboration skills as well as verbal and written communication skills   
    • Professional in ML Operationalization, including workflow/model management platforms such as Airflow/MLflow
    • 4+ years of experience in professional software development
    • 2+ years of experience as a Machine Learning Engineer or relevant jobs
    • 2+ years of experience in cloud development
    • Solid programming skills ­in Python
    • Great skills in Data Engineering and big data technologies such as Spark
    • Up-to-Date knowledge of the latest ML innovations and frameworks
    • Strong analytical skills and data curiosity
    • This position is listed identically as remote work in Germany and Netherlands. Before applying, you must already live in the above countries and be legally authorized to work there without requiring Veeva's support for a visa. If you need a Visa, plan to relocate, or intend to work in a nearby country, please submit an additional document explaining your exceptional situation.

Nice to Have

    • Experience in the life/health science industry, notably pharma
    • Experience in containerization, Kubernetes, and relevant distributed computing for training and inference
    • Experience with NoSQL databases
    • Familiarity with architectural choices, particularly for ML systems
    • Leadership skills and a solid network to help in hiring and growing the team

Perks & Benefits

    • Work anywhere
    • Personal development budget 
    • Annual budget to donate to the non-profit of your choice
    • Health & wellness programs
    • Life insurance
#RemoteNetherlands

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
Full-time
Senior
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Senior Machine Learning Engineer (Remote)
Veeva Systems
Germany - Berlin
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

We are an AI team supporting the entire suite of link data products (e.g., Link Key People). Agility and quality are our operating principles in developing cutting-edge ML models. Our ML models are trained by data captured by a massive group of over 1900 subject-matter experts. ML models complement the curational pipeline and scale our solutions to different regions, languages, and therapeutic areas. Ultimately, we accelerate clinical trials and equitable care. We are proud that our work helps patients to get their most urgent care sooner. See us in this video and learn why you may prefer to join us here.

What You'll Do

    • Technical lead for ML-Ops
    • Develop and manage ML infrastructures and CICD pipelines to support multiple data products
    • Provide engineering mentorship and guidance to data-scientists
    • Collaborate with ML engineers, data scientists, data engineers, and product and operation teams
    • Develop, integrate, and optimize end-to-end AI pipelines by a data-driven approach
    • Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
    • Collaborate with data quality teams to build data annotation/evaluation pipelines, monitoring, and dashboards

Requirements

    • Strong collaboration skills as well as verbal and written communication skills   
    • Professional in ML Operationalization, including workflow/model management platforms such as Airflow/MLflow
    • 4+ years of experience in professional software development
    • 2+ years of experience as a Machine Learning Engineer or relevant jobs
    • 2+ years of experience in cloud development
    • Solid programming skills ­in Python
    • Great skills in Data Engineering and big data technologies such as Spark
    • Up-to-Date knowledge of the latest ML innovations and frameworks
    • Strong analytical skills and data curiosity
    • This position is listed identically as remote work in Germany and Netherlands. Before applying, you must already live in the above countries and be legally authorized to work there without requiring Veeva's support for a visa. If you need a Visa, plan to relocate, or intend to work in a nearby country, please submit an additional document explaining your exceptional situation.

Nice to Have

    • Experience in the life/health science industry, notably pharma
    • Experience in containerization, Kubernetes, and relevant distributed computing for training and inference
    • Experience with NoSQL databases
    • Familiarity with architectural choices, particularly for ML systems
    • Leadership skills and a solid network to help in hiring and growing the team

Perks & Benefits

    • Work anywhere
    • Personal development budget 
    • Annual budget to donate to the non-profit of your choice
    • Health & wellness programs
    • Life insurance
#RemoteGermany

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
Full-time
Senior
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Principal Data Scientist - United Kingdom (Remote)
Veeva Systems
United Kingdom - London
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
 
Your work will shape the product roadmap for the entire family of Link products, especially newer products such as Link for Trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
 
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
 
We invite you to work remotely from any area within this country. However, it's a prerequisite that you already reside in this country and hold legal work authorization without needing an employer's support.
 
If you plan to move to this country or live nearby, we may still consider your application if you're a superb fit for the role. In such scenarios, kindly supply an extra document that outlines your impending or current location, visa status, and the reasons that make you an excellent fit.

What You'll Do

    • Develop machine learning models at scale and in the AWS cloud to structure and analyze scientific data
    • Adopt the latest technologies and trends in AI
    • Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
    • Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
    • Collaborate with data quality teams to define annotation tasks, metrics, and perform a qualitative and quantitative evaluation
    • Collaborate with engineering teams to implement models at a terminal scale

Requirements

    • 8+ years of experience as a data scientist (or 6+ years with a relevant Ph.D. degree)
    • Fluent in Python/Java and bashing scripts
    • Excellent analytical skills and data curiosity
    • Superior communication and presentation skills
    • Mastery in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
    • Mastery of Machine Learning, including up-to-date knowledge of the latest ML innovations and frameworks
    • Used to start-up environments
    • Social competence and a team player
    • High energy and ambitious
    • Agile mindset

Nice to Have

    • Experience in life/health science industry, notably pharma
    • Background in clinical (trial) data
    • Having published in AI space in a peer-reviewed journal/conference
    • Production-grade development Skills
    • Cloud development, especially AWS
    • Experience in NLP, NER, deduplication, entity-linking, graph-processing, or reinforcement learning
    • Leadership skills and a solid network to help in hiring and growing the team
    • Experience in containerization, Kubernetes, or relevant distributed computing technologies
    • Experience with NoSQL databases, especially MongoDB
    • Familiarity with model registry solutions such as MLflow

Perks & Benefits

    • Work anywhere
    • Personal development budget 
    • Veeva charitable giving program
    • Fitness reimbursement
    • Life insurance + pension fund
#RemoteUK

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
Full-time
Senior
Natural Language Processing
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Senior Data Scientist - Spain (Remote)
Veeva Systems
Spain - Barcelona
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner. 
 
Your analysis will shape the product roadmap for a new Link product focused on large-scale semantic analysis and question/answering over heterogeneous documents from the medical domain, such as academic publications, clinical regulation, and therapeutic committee meeting notes. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will create a semantic search capability that can answer user queries regarding certain aspects of data. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production. 

We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
 
We invite you to work remotely from any area within this country. However, it's a prerequisite that you already reside in this country and hold legal work authorization without needing an employer's support.
 
If you plan to move to this country or live nearby, we may still consider your application if you're a superb fit for the role. In such scenarios, kindly supply an extra document that outlines your impending or current location, visa status, and the reasons that make you an excellent fit.

What You'll Do

    • Adopt the latest technologies and trends in NLP to your platform
    • Experience with training, fine-tuning, and serving Large Language Models
    • Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings
    • Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data
    • Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
    • Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
    • Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation
    • Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production

Requirements

    • 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
    • Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
    • Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques
    • Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar
    • Familiarity with large-scale data processing and analysis, preferably within the medical domain
    • Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers)
    • Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX)
    • Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)  and experience with bashing script
    • Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team
    • Used to start-up environments
    • Social competence and a team player
    • High energy and ambitious
    • Agile mindset

Nice to Have

    • Background in Medical NLP
    • Experience in the life/health science industry, notably pharma
    • Having published in AI space in a peer-reviewed journal
    • Production-grade Development Skills
    • Leadership skills and a solid network to help in hiring and growing the team
    • Experience with NoSQL databases, especially MongoDB
    • Familiarity with model registry solutions such as MLflow

Perks & Benefits

    • Work anywhere
    • Personal development budget  
    • Veeva charitable giving program
    • Fitness reimbursement
    • Life insurance + pension fund
#RemoteSpain

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
Full-time
Senior
Natural Language Processing
Logo
Principal Data Scientist - Spain (Remote)
Veeva Systems
Spain - Barcelona
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
 
Your work will shape the product roadmap for the entire family of Link products, especially newer products such as Link for Trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
 
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
 
We invite you to work remotely from any area within this country. However, it's a prerequisite that you already reside in this country and hold legal work authorization without needing an employer's support.
 
If you plan to move to this country or live nearby, we may still consider your application if you're a superb fit for the role. In such scenarios, kindly supply an extra document that outlines your impending or current location, visa status, and the reasons that make you an excellent fit.

What You'll Do

    • Develop machine learning models at scale and in the AWS cloud to structure and analyze scientific data
    • Adopt the latest technologies and trends in AI
    • Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
    • Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
    • Collaborate with data quality teams to define annotation tasks, metrics, and perform a qualitative and quantitative evaluation
    • Collaborate with engineering teams to implement models at a terminal scale

Requirements

    • 8+ years of experience as a data scientist (or 6+ years with a relevant Ph.D. degree)
    • Fluent in Python/Java and bashing scripts
    • Excellent analytical skills and data curiosity
    • Superior communication and presentation skills
    • Mastery in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
    • Mastery of Machine Learning, including up-to-date knowledge of the latest ML innovations and frameworks
    • Used to start-up environments
    • Social competence and a team player
    • High energy and ambitious
    • Agile mindset

Nice to Have

    • Experience in life/health science industry, notably pharma
    • Background in clinical (trial) data
    • Having published in AI space in a peer-reviewed journal/conference
    • Production-grade development Skills
    • Cloud development, especially AWS
    • Experience in NLP, NER, deduplication, entity-linking, graph-processing, or reinforcement learning
    • Leadership skills and a solid network to help in hiring and growing the team
    • Experience in containerization, Kubernetes, or relevant distributed computing technologies
    • Experience with NoSQL databases, especially MongoDB
    • Familiarity with model registry solutions such as MLflow

Perks & Benefits

    • Work anywhere
    • Personal development budget 
    • Veeva charitable giving program
    • Fitness reimbursement
    • Life insurance + pension fund
#RemoteSpain

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
Full-time
Senior
Logo
Data Scientist - Commercial Analytics
Veeva Systems
Canada - Toronto
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

As a Data Scientist for the Commercial Analytics team, you will work with Veeva Engineers, Consultants, and fellow Data Scientists to support analysis and analytical data deliverables.

Your role will be to generate and own the mathematical and behavioral models that will help drive the generation of impactful insights and suggestions for our clients. Our ideal candidate is multi-talented, with the capabilities to develop statistical, machine learning, and optimization models, but they are also able to be client-facing, to understand the business needs of our clients (both within and outside of Veeva), and present complex statistical and machine learning models to the stakeholders. 

This is a great opportunity for someone who is excited about using their deep Data Science expertise to help shape the ML offerings of the Veeva business. This role is based in the Veeva Toronto Office - 20 Toronto St, Toronto, ON.

What You’ll Do

    • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
    • Design, develop, and assess highly innovative models for clustering, anomaly detection, and more
    • Build and run an analysis of models and algorithms in order to assess performance and identify the best algorithms to present to customers
    • Ensure models and algorithms support our customers and help them drive towards more intelligent and effective engagement with their customers
    • Execute statistical and data mining techniques (e.g., hypothesis testing, machine learning, and retrieval processes) on large data sets to identify trends
    • Work closely with the data warehouse product team to ensure the architecture is effectively developed to support algorithms that are reproducible for many clients while being able to tailor said models for individual clients
    • Build models to help our Business Consulting and Strategy teams work with customers on how to better understand healthcare behavior to improve patient outcomes
    • Provide subject matter expertise and advice on model design, data collection, and/or model evaluation to technical and non-technical audiences
    • Contribute to developing and executing the team’s research agenda, including writing white papers and presenting at conferences
    • Collaborate with data engineers to access data and explain data requirements
    • Collaborate with analytics consultants to communicate findings to senior leaders and business partners
    • Communicate analyses and results, along with implications, to technical and non-technical audiences
    • Demonstrate impeccable ethics and judgment when dealing with confidential data
    • Share research insights both inside and outside the organization to become a thought leader in this space

Requirements

    • Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative disciplines with at least 1+ year of relevant industry experience or an equivalent M.S. with four years of relevant demonstrable research experience 
    • Advanced, in-depth specialization and experience in data analysis techniques such as classification, pattern recognition, clustering, feature analysis, NLP, fuzzy matching, sentiment analysis, A/B testing, active/adaptive learning 
    • Proficient in R or Python 
    • Ability to manipulate large data sets and develop statistical models, and accurately determine cause and effect relationships
    • Excellent SQL/Spark skills
    • Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions, even in situations with non-standard problems
    • Excellent oral and written communication skills with the ability to effectively explain complex problems and advocate technical solutions to other team members and clients
    • Must be comfortable with changing requirements and priorities
    • Must be results-oriented and able to move forward without complete information and with minimal supervision

Nice to Have

    • Experience with commercial aspects of the Life Sciences industry
    • Experience working with Software as a Service and/or enterprise products
    • Experience with AWS
    • Hands-on experience building models with deep learning frameworks (Tensorflow or similar)
BCCommAnalytics

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
Full-time
Mid Level