<p style="text-align:justify"> </p><p style="text-align:justify"><span style="font-size:12.0px"><span style="font-family:Verdana, Geneva, sans-serif">Work Location: Boston, Massachusetts<br>Shift: <br>Department: HC-NA-IDA Analytics Engineering & BI Architecture<br>Recruiter: Troy Bradley</span></span></p><p style="text-align:justify"><br><span style="font-size:12.0px"><span style="font-family:Verdana, Geneva, sans-serif"><strong>This information is for internals only. Please do not share outside of the organization.</strong></span></span></p><p> </p><br><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong>Your Role</strong></span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">At EMD Serono, data, analytics, and AI are core to how we bring innovative medicines to patients faster.
As a Senior Data & MLOps Engineer, you own the data and MLOps foundations - from ingestion to production - collaborating with Data Science, Commercial, Medical, Analytics, and IT to turn prototypes into scalable, governed solutions.</span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong> </strong></span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong>Key Responsibilities</strong></span></p><ul style="margin-top: 0.0in; margin-bottom: 0.0in;" type="disc"><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Build, maintain, and troubleshoot scalable data pipelines, ETL/ELT workflows, derived tables, curated datasets, and feature-ready data assets using SQL and Python.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Deploy and operationalize machine learning, advanced analytics, and generative AI solutions through automated deployment, monitoring, and operational workflows.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Enable GenAI use cases involving embeddings, vector databases, retrieval-augmented generation, prompt management, and evaluation workflows.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Establish reusable engineering patterns, CI/CD practices, testing frameworks, documentation, and governance standards for data and ML solutions.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Apply data privacy, security, quality, lineage, access control, and compliance standards appropriate for healthcare and pharmaceutical data.</span></li></ul><p style="margin-bottom: 0in;line-height: normal;margin-top: 0in;margin-right: 0in;font-size: 12pt;font-family: Aptos, sans-serif;"> </p><p style="margin-bottom: 0in;line-height: normal;margin-top: 0in;margin-right: 0in;font-size: 12pt;font-family: Aptos, sans-serif;"><strong><span style="font-family: verdana, geneva, sans-serif;">This will be a hybrid role - in office 3 days per week/2 days per week work from home. </span></strong></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong> </strong></span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong>Who You Are</strong></span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong>Minimum Qualifications</strong></span></p><ul style="margin-top: 0.0in; margin-bottom: 0.0in;" type="disc"><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent work experience.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">4+ years of experience in data engineering, MLOps, machine learning engineering, software engineering, cloud engineering, or related technical roles.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Hands-on experience building production data pipelines, ETL/ELT workflows, derived tables, curated datasets, or feature-ready data assets.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience deploying or operationalizing machine learning models, advanced analytics workflows, or AI-enabled solutions.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Advanced SQL, Python, and shell scripting.</span></li><li style="margin-bottom: 0in; line-height: normal; vertical-align: middle; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Proven track record of architecting, deploying, and maintaining complex projects in a diverse ecosystem of AWS services. Experience with AWS automation through CloudFormation and Azure DevOps.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience with Git, CI/CD, containerization, and production software engineering practices, including troubleshooting build failures.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Familiarity with model monitoring, model versioning, experiment tracking, testing, and deployment automation.
Experience with designing proactive alerting and monitoring workflows for workloads running on AWS services.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Strong communicator who works independently and collaborates effectively across technical and business stakeholders</span></li></ul><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong> </strong></span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><strong>Preferred Qualifications</strong></span></p><ul style="margin-top: 0.0in; margin-bottom: 0.0in;" type="disc"><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">7+ years of experience across data engineering, MLOps, ML engineering, analytics engineering, or software engineering.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience in pharmaceutical, biotechnology, healthcare, or life sciences environments and datasets such as claims, EMR/EHR, patient services, customer engagement, field activity, marketing, or sales data.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience with Snowflake, dbt, Airflow, IICS or equivalent ETL/orchestration tools, parquet files, and large-scale data processing patterns.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience with AWS ML/data services, MLflow, SageMaker, Kubeflow, Docker, Kubernetes, or Terraform.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience implementing data quality checks, data observability, lineage, pipeline monitoring, model monitoring, drift detection, batch inference, real-time inference, or automated retraining.</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Hands-on experience with GenAI applications (RAG, vector databases, LLM evaluation)</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Nice to have</span></li><ul style="margin-top: 0.0in; margin-bottom: 0.0in;" type="circle"><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">AWS certifications - AWS Certified DevOps Engineer Professional; AWS Certified Data Engineer</span></li><li style="margin-bottom: 0in; line-height: normal; margin-top: 0in; margin-right: 0in; font-size: 12pt; font-family: verdana, geneva, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;">Experience with Tableau, Power BI, or other BI tools for data visualization and reporting.</span></li></ul></ul><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><em> </em></span></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><em>Pay Range for this position: $137,800 - 206,600</em></span><br><br></p><p style="margin: 0.0in; line-height: normal; font-size: 12.0pt; font-family: Aptos, sans-serif;"><span style="font-family: verdana, geneva, sans-serif;"><em>The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors.
Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other prequisites.
For more information click <a href="https://careers.emdgroup.com/us/en/benefits" target="_self">here</a>. </em> </span></p><br><p style="text-align:justify"> </p><p style="text-align:justify"><span style="font-size:12.0px"><span style="font-family:Verdana, Geneva, sans-serif">The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.
This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately.
The Company will not retaliate against any individual because they made a good faith report of discrimination.</span></span></p><p style="text-align:justify"> </p>
Originally posted by EMD Group. View original posting
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