Innova Solutions is immediately hiring for an Bioinformatics Data Engineer
Position type : Full-time; Contract
Duration : 07+ Months
Location : 100% Remote
Pay range : $60 - $70 / hr on W2
As a Bioinformatics Data Engineer Professional you will :
Job Description :
- We are seeking a Bioinformatics Data Engineer to spearhead the development of an AI-first ecosystem aimed at transforming the drug discovery landscape.
- This role demands a proactive individual with a profound understanding of machine learning, AI, and bioinformatics, poised to deliver innovative solutions that accelerate the validation and identification of novel drugs.
- The ideal candidate will have extensive experience in managing and analyzing large-scale biological data, understanding its intricacies, and using this data to train robust machine learning models.
Key Responsibilities :
- Architect and Develop AI-Driven Ecosystems : Design and develop an advanced AI-driven data ecosystem to facilitate efficient and accurate drug target discovery.
- Implement Scalable Machine Learning Models : Design and implement scalable machine learning models and data pipelines to analyze complex biological datasets, including genomic, transcriptomic, and imaging data.
- Cloud Platform Utilization : Utilize modern cloud platforms to deploy machine learning solutions and manage large-scale data storage and computation.
- Advanced AI Techniques : Innovate and apply state-of-the-art AI techniques, including deep neural networks, to extract insights from large and diverse datasets.
- Collaborate on Drug Discovery Strategies : Work with interdisciplinary teams to translate experimental data into actionable drug discovery strategies.
- Continuous Technology Integration : Stay at the forefront of AI, machine learning, and bioinformatics, continuously integrating new technologies and methodologies to enhance data-driven decision-making.
Minimum Qualifications :
- Educational Background : PhD in Computer Science, Bioinformatics, Statistics, or a related quantitative field.
- Machine Learning Expertise : Solid experience with AI and machine learning tools and frameworks.
- Programming Proficiency : Proficient in Python and R, with a strong track record of developing and deploying applications in a cloud environment.
- Experience with Biological Datasets : Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
Preferred Skills :
- Data Handling Expertise : Extensive experience in data harmonization, normalization, and preprocessing of large-scale biological datasets to ensure their readiness for machine learning applications.
- Understanding of Biological Data Nuances : Deep understanding of the nature, limitations, and pitfalls of biological datasets and the ability to apply this knowledge systematically in data cleaning and management.
- Advanced Machine Learning Techniques : Expertise in genetic algorithms, ensemble methods, and unsupervised learning techniques, with a focus on their application to biological data.
- Analytical Skills : Excellent analytical skills, with the ability to see beyond the numbers to the strategic implications of the data.
- Collaboration and Communication : Strong communication and collaboration skills, with experience working in agile, cross-functional teams.
- Passion for Innovation : A strong passion for using AI to drive innovations in health technology and drug discovery.
- The ideal candidate will have : Proficient in Python and R, with a strong track record of developing and deploying applications in a cloud environment.
Thank you!
PATHAN? SAMIULLAHKHAN
Lead Recruitment
PAY RANGE AND BENEFITS :
Pay range : $65 - $70 / hr
Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.
Benefits : Innova Solutions offers benefits( based on eligibility) that include the following : Medical & pharmacy coverage, Dental / vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).