Python Developer - Hybrid

Posted 7 Days Ago
Be an Early Applicant
Ataşehir, İstanbul
Mid level
Healthtech
The Role
As a Python Developer at Massive Bio, you will focus on developing software solutions, analyzing data, and collaborating with engineering teams to improve analytics processes. You'll be responsible for designing algorithms, conducting data validation, and enabling actionable insights through advanced statistical modeling and machine learning techniques.
Summary Generated by Built In

Massive Bio is a rapidly growing health-tech startup founded in 2015 to provide every cancer patient with access to clinical trials regardless of their location or financial stability. Our proprietary patient recruitment and enrollment enablement solution for oncology clinical trials solves every point of friction in traditional clinical trial enrollment. Privately held and headquartered in NY City, our passionate changemaker team is looking for a Python Developer working out of our Istanbul office in the Product Development Team.
Reporting to the Director of Software Development, you will:

  • Collaborate with engineering teams to develop an understanding of software product requirements and technical specifications.
  • Research and devise innovative statistical models for data analysis.
  • Communicate findings to the AI and Product Development teams.
  • Enable smarter business processes by using analytics for meaningful insights.
  • Serve as data strategist to identify and integrate new datasets that can be leveraged through our platform and work closely with Product Development team members throughout development.
  • Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets for model development.
  • Design and implement algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
  • Analyze data for trends and patterns and interpret data with clear objectives in mind.
  • Implement analytical models in production by collaborating with software developers and machine-learning engineers.

 Candidate Profile:

  • 3+ years of software development experience with Python knowledge.
  • Experience in fine-tuning large language models (LLM), optimizing performance, deploying scalable solutions, and integrating advanced NLP and NLU techniques into production systems.
  • Bachelor’s degree in computer science, data science, statistics, applied mathematics, or a related discipline.
  • Experience in Python API development with known frameworks.
  • Advanced experience in pattern recognition and predictive modeling.
  • Experience in prompt engineering.
  • Proficiency in SQL and Python, as well as a strong understanding of the core language and major frameworks.
  • Experience with cloud platforms such as AWS or Azure.
  • Solid knowledge of Git for version control and Linux for development environments.
  • Proven results influencing stakeholders and demonstrating results.
  • Ability to translate complex problems and ideas into easily understood descriptions.
  • Ability to work independently, self-starter, can-do attitude, multitask, and prioritize.
  • Advanced speaking proficiency in English to be part of international calls when needed.
  • Work location is Kozyatagi, Istanbul; at least 2/3 days a week at the office.
  • No military obligations.

Top Skills

Python
The Company
HQ: New York, New York
85 Employees
On-site Workplace
Year Founded: 2014

What We Do

Increasing Accessibility to Clinical Trials and Personalized Cancer Treatment Options.

Every cancer patient is different and deserves treatment of the highest quality that is personalized, affordable, and easily accessible.

Massive Bio translates the world-class oncology knowledge of the large cancer centers'​ experts, facilitates a virtual tumor board collaboratively with the treating oncologist, and advises the patient and treating oncologist to operationalize these expert recommendations at the point of care thereby, eliminating additional time, travel, and cost.

85% of US cancer patients receive treatments in community practices where treating oncologists are overwhelmed with the influx of new tests and treatments while trying to manage their busy practices. We believe all cancer patients deserve equal access to the latest in cancer research and treatment

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