Search for Lead Data Scientist roles in the Exton, PA area, flexible hybrid position, focusing on machine learning and preclinical research, with 5+ years of experience, and a Ph.D. or M.S. in a related field.

Okay, I've searched for Lead Data Scientist roles in the Exton, PA area for flexible hybrid positions, focusing on machine learning and preclinical research, requiring 5+ years of experience, and a Ph.D. or M.S. in a related field. I found 57 positions that match your criteria.

Lead Data Scientist

Exton, PA

Hybrid

5 years + Experience

Ph.D. or M.S.

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Lead Data Scientist role at the company entails spearheading the development and application of machine learning technologies to support in vivo research and development. The primary purpose of the position is to enhance data infrastructure and analytical capabilities, paving the way for rigorous and reproducible results in preclinical pharmacology. Responsibilities such as modernizing data infrastructure, building deep learning models for behavior classification, and developing automated reporting systems suggest that the successful candidate will focus on bridging data science with biological insights. Challenges they might face include navigating complex datasets, ensuring compliance with regulatory standards, and collaborating across various teams to drive usable outcomes from nuanced data. Success in this role will manifest in the form of high accuracy in model outputs, efficiency in experimental processes, and valuable insights that directly inform preclinical research and development decisions.

Company Analysis:

Scientific Search operates as a leading recruitment partner in the biotech and pharmaceutical fields, facilitating critical hires in a domain that merges advanced scientific expertise with talent acquisition. Given their specialization in preclinical and clinical environments, the company's emphasis on finding top-tier talent is reflective of its commitment to high standards and innovation. The organization appears to cultivate a results-oriented culture centered on collaboration, which is essential for a role that necessitates extensive teamwork across biology, operations, and client interfaces. As a pioneer in phenotypic screening and preclinical services, the company is positioned in a growth-centric space where the Lead Data Scientist can significantly impact R&D efforts and contribute to shaping therapeutic advancements. This role aligns strategically with the company's mission to deliver transformative insights, indicating the potential for the Lead Data Scientist to be a key player in propelling the organization's scientific goals forward.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to collaborate with a team to create a data-driven solution. What role did you play, and what was the outcome?
Can you describe a challenging machine learning project you worked on? What methods did you use to overcome the obstacles?
Discuss an instance where you had to interpret complex data for a non-technical audience. How did you ensure clarity and effectiveness?
How do you prioritize tasks when managing multiple projects with tight deadlines, especially in a fast-paced research environment?
How would you approach developing a deep learning pipeline for motion tracking in rodent models? What are the key steps and considerations?
What specific techniques would you use for processing EEG or other biosignal data? Can you explain your approach?
Imagine a situation where your ML model for behavior classification is underperforming. What steps would you take to troubleshoot and improve its accuracy?
If you were tasked with modernizing the data infrastructure for preclinical research, what key areas would you focus on, and why?
Why are you interested in working at Scientific Search specifically, and how do you think your background aligns with our mission?
What excites you about the potential of machine learning in the biotechnology field, particularly in preclinical research?
How do you envision your work in this role contributing to the larger goals of enabling transformative insights for clients?
What questions do you have about our current data infrastructure or the specific challenges our teams face in data management?
Based on your experience, how do you keep yourself updated with the latest trends and technologies in machine learning and data science?
In what ways do you ensure that your machine learning practices align with regulatory requirements, particularly in a pharmaceutical context?

Job Details

Overview Company

Lead Data Scientist

Scientific Search

a day ago

Highlight

HybridFull-time5+ yearsSenior

Summary

Scientific Search is seeking a Lead Data Scientist – Machine Learning & Preclinical Pharmacology to join their team in Exton, PA. The role involves driving the development and application of machine learning and data infrastructure to support in vivo R&D efforts.

About the Role

As Lead Data Scientist, you will lead the modernization of data infrastructure, build and deploy deep learning pipelines for behavior classification, develop processing pipelines for biosignals, and design NLP and document-scraping pipelines. You will collaborate with biology, operations, and client-facing teams to turn complex data into actionable insights.

About You

Required:

Ph.D. or M.S. in Data Science, Computer Science, Neuroscience, Biomedical Engineering, or a related field.
5+ years of experience applying ML to real-world data, preferably in a preclinical, CRO, or in vivo environment.
Deep expertise in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
Hands-on experience with behavioral video analysis, signal processing, and ML model deployment.

Preferred:

Experience in phenotypic screening or drug discovery workflows.
Use of annotation tools like CVAT or Labelbox for supervised learning datasets.
Comfort with MLOps and cloud-based platforms (e.g., AWS, MLflow, Docker).

Scientific Search

Scientific Search stands behind the idea that it takes talented recruiters to find talented professionals. That’s why we’re so successful at what we do. Our recruiters specialize in each industry and have a knack for finding the most competent talent.

Since 1983, we have filled thousands of positions ranging from entry level to executive and management for various industries including: Pharmaceutical, Biotech, Clinical Research (CRO), Genomics & Medical Device, Food & Beverage, Market Research, Information Technology, Engineering & Manufacturing.

Positions include individual contributor level through C-Suite to allow for a full service partnership experience.

Whether you need to find a regulatory affairs director, medical device engineer, clinical research manager or life science professional, Scientific Search is here to help find and hire the best candidates.

Our internal database contains thousands of qualified pharmaceutical, biotech, clinical research, cell and gene therapy, and medical device professionals that we have established relationships with. We are typically able to provide you with outstanding candidates within days of a request if not sooner.

We’ve all been there — burning through time and resources trying to fill a critical hiring need while managing a host of other obligations. Scientific Search’s sole focus is to place thoroughly vetted, qualified individuals with verifiable excellent backgrounds and solid interest in the opportunity you offer at your fingertips. Within 5 business days of starting a new search for any of our Pharmaceutical and Biotechnology clients, we’ve already spoken with over 70% of our client’s targeted high performers and presented the 5 best transformational leaders to them.

Exton, PA