Research Scientist II

JOB DESCRIPTION:

Job Title

Research Scientist II Neuroscience (Molecular Biology AI & Adaptive Neurotechnology)

Working at Abbott

At Abbott you can do work that matters grow and learn care for yourself and your family be your true self and live a full life. Youll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution.
• Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity working mothers female executives and scientists.

The Opportunity

This position works out of our Plano TX location in the Neuromodulation division. Abbott Neuromodulation is advancing next-generation therapies for chronic pain movement disorders and other neurological conditions through innovative bioelectronic medicine digital health technologies and intelligent neuromodulation systems. We are seeking a Research Scientist II with strong molecular biology cellular neuroscience tissue engineering or related life sciences expertise and an AI-first mindset to support translational research at the intersection of biology neural systems and implantable medical devices.

This role will contribute to the discovery and development of biological digital and multimodal biomarkers that may inform future adaptive (closed-loop) neuromodulation therapies. The successful candidate will help generate high-quality biological datasets investigate mechanisms of neural modulation and support the integration of molecular electrophysiological imaging and clinical data to enable more personalized data-driven treatment approaches.

The individual will collaborate with internal R&D teams and external academic clinical and industry partners globally to accelerate scientific innovation and translational research initiatives.

What Youll Work On

Translational Neuroscience & Biological Research

• Support preclinical and translational neuroscience research programs focused on neuromodulation mechanisms therapeutic target discovery and biomarker identification.
• Design execute and optimize molecular and cellular biology experiments.
• Conduct cellular tissue-level and in-vitro studies to investigate biological responses to neural stimulation.
• Analyze gene protein and cellular pathway changes associated with neural activity disease states and therapeutic outcomes.
• Support development of novel in-vitro screening platforms and biologically relevant research models.
• Assist in translating biological discoveries into clinically relevant neuromodulation applications.

Biomarker Discovery & Adaptive Neurotechnology

• Contribute to discovery and validation of molecular physiological and digital biomarkers associated with therapeutic response.
• Support development of biological inputs that may inform future adaptive (closed-loop) neuromodulation systems.
• Assist in correlating molecular findings with electrophysiological imaging device-generated and clinical datasets.
• Participate in research efforts exploring mechanisms underlying personalized neuromodulation therapies.

AI Data Science & Multimodal Research

• Apply an AI-first approach to experimental design data generation annotation structuring and interpretation.
• Contribute to development of AI-ready multimodal datasets integrating biological electrophysiological imaging and clinical data.
• Partner with computational scientists data scientists and engineers to support machine learning and advanced analytics initiatives.
• Maintain high-quality well-characterized datasets suitable for downstream AI and predictive modeling applications.
• Support generation of data standards metadata frameworks and research workflows that enhance reproducibility and future analytics capabilities.

Collaboration & Scientific Communication

• Collaborate with cross-functional teams across R&D Clinical Regulatory Data Science and Engineering organizations.
• Engage with academic institutions clinical investigators and external research collaborators globally.
• Prepare technical reports scientific presentations publications and supporting documentation.
• Present findings to internal stakeholders and external scientific audiences as appropriate.
• Stay current on advances in neuroscience AI-enabled biology bioelectronic medicine precision medicine and adaptive neurotechnology.

Required Qualifications

• Masters degree (MSc) in Neuroscience Molecular Biology Biomedical Engineering Cellular Biology Bioengineering or related field.
• 13 years of relevant laboratory or translational research experience following degree completion.
• Hands-on experience in several of the following areas:
  • RNA/DNA extraction processing and analysis
  • Gene expression analysis
  • Protein characterization and biochemical assays
  • Mammalian cell culture
  • Cellular neuroscience techniques
  • In-vitro assay development
  • Electrophysiology or neural recording methods
• Strong experimental design problem-solving and analytical skills.
• Interest in AI-enabled data-driven scientific research approaches.
• Ability to work effectively in multidisciplinary and matrixed environments.
• Strong written and verbal communication skills.

Preferred Qualifications

• PhD in Neuroscience Molecular Biology Biomedical Engineering Bioengineering Cellular Biology or related discipline.
• Research experience in neuroscience neurobiology neuroengineering or translational medicine.
• Familiarity with one or more of the following:
  • Transcriptomics
  • Proteomics
  • Single-cell analysis
  • Immunohistochemistry (IHC)
  • Advanced microscopy and imaging techniques
  • Preclinical CNS models
  • Microfluidics
  • Biomaterials
  • Bio-MEMS technologies
  • Tissue engineering
• Exposure to neuromodulation neurostimulation bioelectronic medicine neural interfaces or implantable medical devices.
• Experience working with multimodal datasets that combine biological neural imaging and/or clinical information.
• Working knowledge of Python R MATLAB or equivalent scientific computing environments.
• Familiarity with machine learning workflows data annotation methodologies or AI-enabled research tools.
• Record of scientific publications conference presentations or collaborative research activities.
• Experience working with external academic clinical or industry research partners.
• Demonstrated adaptability scientific curiosity and ability to thrive in a rapidly evolving research environment.

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The base pay for this position is

In specific locations the pay range may vary from the range posted.

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