Senior Data Analyst

LifeLens Technologies Inc.

Ivyland (PA)

On-site

USD 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Health Insurance

Dental & Vision Insurance

Paid Time Off

401(k)

Stock option incentive plan

FSA & dependent care

Job summary

LifeLens Technologies, Inc. in Ivyland, PA seeks a Senior Data Analyst to lead retrospective data analysis and translate raw telemetry into meaningful narratives. You will own analytics tooling, partner with Data Engineering, and deliver data products for engineers, executives, and users.

You will define metadata, curate data provenance, and advance ML workflows, ensuring robust anomaly detection and integrated dashboards in a rapidly evolving hardware/software ecosystem.

Qualifications

Master’s degree in computer science, computer engineering, or a related technical discipline or 15+ years of experience in total preferred.
10+ years of experience in Software Development with at least 7+ years acting as a Data Analyst or Data Scientist.

Responsibilities

Lead the analytical direction of retrospective data analysis and partner with Data Engineering.
Build and own tools to translate raw telemetry into refined data narratives.
Create data products and visualizations for engineers, executives, and end users.
Ingest multi-source, time-stamped data and define ontologies for analysis.
Lead architecture of lighthouse data products and collaborate with Algorithm Development.

Skills

Python

MATLAB

Data analysis

Time-series data

ML workflows

Git

CI/CD

Data visualization

Big data

HDF5/Parquet

Education

Master’s degree in CS/CE or related field

15+ years total experience

Tools

HDF5

Parquet

Git

CI/CD

Jupyter/Notebooks

Job description

LifeLens Technologies, Inc. is a medical device developer located in Ivyland, PA. We are pioneering innovative, next-generation treatment devices for personal health monitoring.

We are seeking to hire a Senior Data Analyst. In this role, you will have the opportunity to work on cutting-edge technologies designed to revolutionize wearable health care. You have a collaborative mindset and a passion for developing new technology. You are detail-oriented and goal-driven. You are a capable problem solver with excellent organizational skills and superior verbal and written communication skills. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.

This is a full-time, on-site position.

Summary

The Senior Data Analyst is responsible for leading the analytical direction of our retrospective data analysis, partnering with Data Engineering to turn raw telemetry into refined, focused data narratives. They build and own the fundamental scaffolding necessary to translate raw telemetry into refined, focused data narratives. They excel at making the tools for company stakeholders, technical teams, and end users to communicate what our data means – and how it can make a difference.

Essential Functions:

Internal Data Ownership: Lead the intersection of wearable sensor hardware and advanced analytics. You will develop well-documented analysis tools and notebooks on top of the data lake maintained by Data Engineering, and train others to use them. You dive into raw biosignals and give meaning to complex data.

Recording Metadata Database and Data Curation: Define the requirements for, and curate the content of, our physiological recordings metadata database in partnership with Data Engineering, ensuring inventory and provenance are accurate across all hardware generations. You will manage the inventory and provenance of legacy and new data across all hardware generations to support downstream data products.

End-to-End Data Storytelling: You build comprehensive data products. From high-fidelity pathology visualizations to rigorous statistical reports, you will own the process from concept to delivery, for audiences ranging from engineers to the C-suite to the end user.

Complex Data Interpretation: Ingest and curate multi-source, time-and-location tagged data. You will define the ontologies and analytical requirements needed to extract meaningful signals, working with Data Engineering on the pipelines that support them.

Architectural Leadership: As the Company evolves, you will create lighthouse data products that set the standard for how we analyze and present data across the organization. Together with the Algorithm Development team, you will help build the tip of the algorithmic spear: valuable, proof-of-concept analysis methods that can become first-of-their-kind internally and externally facing products.

System Troubleshooting & Investigation: Act as the primary investigator for data anomalies. You will iinvestigate data anomalies through the hardware-to-cloud stack, identify likely root causes, and partner with the responsible engineering teams on resolution.

Cross-Functional Collaboration: Partner proactively with engineers, product leads, and stakeholders to understand the \"why\" behind the data, translating business needs into essential internal tooling.

Analytical Tooling Advancement: Design and operate the tools used to evaluate the Ascent system, implementing robust statistical models and ML workflows to automate anomaly detection and trend analysis.

Technical Adaptability: Rapidly master a complex, evolving hardware/software ecosystem, adapting your pipelines and visualizations in real-time to ensure data visibility keeps pace with technical capability.

Competencies

Strong experience with Python or MATLAB (or equivalent) for data transformation and post-processing; JavaScript/TypeScript, Rust, R, C/C++ a plus

Experience working with regulated data or experience coding and handling data in a sensitive medical or industrial environment (HIPAA, PII/PHI, etc.).

Experience with scientific data formats (HDF5, MATLAB, Parquet)

Demonstrated experience analyzing large, complex datasets (TB – PB scale)

Experience curating heterogeneous legacy datasets and defining metadata requirements required; data modeling experience a plus

General strong software engineering practices, including Git, code review, CI, rigorous test and validation.

Experience with Graphic Design, vector graphics (Adobe Illustrator), video editing (Adobe Premiere, After Effects, etc.), or 3D Modeling (Blender, Maya, etc.)