Apply on Employer Site

Ayass BioScience, LLC · 5 months ago

AI Prompting Engineer - Biological Reasoning Systems - Biotech Industry

Frisco, TX

Full-time

Hybrid

Entry, Mid Level

$150K/yr - $220K/yr

2+ years exp

Ayass BioScience, LLC is seeking an innovative AI Prompting Engineer to enhance the interface between human expertise and artificial intelligence in their advanced transcriptome analysis platform. This role focuses on developing sophisticated prompting strategies for biological reasoning, ensuring the AI systems deliver accurate and clinically relevant insights from genomic research.

BiotechnologyHealth CareMedicalOnline Portals

Responsibilities

Design and optimize complex prompting architectures for biological reasoning tasks

Develop chain-of-thought (CoT) prompts that guide LLMs through multi-step genomic analyses

Create tree-of-thoughts (ToT) frameworks for exploring alternative biological hypotheses

Implement ReAct prompting for dynamic agent-environment interactions in research workflows

Build self-consistency prompting systems to reduce output variability from 30% to <5%

Craft specialized prompts for interpreting 20,000+ gene expression patterns

Develop role-based prompting strategies simulating expert bioinformaticians and clinicians

Create contextual prompting frameworks incorporating patient history and experimental conditions

Design step-back prompting for identifying underlying biological mechanisms

Implement structured output prompts for clinical report generation

Build automated prompt engineering systems using LLMs to generate optimal prompts

Develop prompt ensembling techniques for improved reliability

Create prompt debiasing strategies for fair and accurate biological interpretations

Implement prompt versioning and A/B testing frameworks

Design prompt templates with dynamic variables for scalable deployment

Establish prompt evaluation metrics specific to biological accuracy

Develop unit testing frameworks for prompt outputs

Create calibration techniques for LLM confidence in biological predictions

Implement prompt injection protection for clinical-grade security

Build monitoring systems for prompt performance in production

Partner with LLM Engineers to optimize prompts for specific models

Support Agentic AI Engineers with prompts for autonomous decision-making

Work with Software Engineers to implement prompt management systems

Collaborate with Bioinformaticians to encode domain expertise in prompts

Interface with Clinical teams to ensure outputs meet medical standards

Design prompt libraries for common biological analysis tasks

Create prompt composition frameworks for complex workflows

Build interactive prompt debugging and testing tools

Develop documentation and training materials for prompt usage

Implement prompt governance and quality control processes

Qualification

PythonPrompt engineeringLLM platformsBiological terminologyAutomated evaluationCausal reasoningTechnical documentationSoft skills

Required

BS/MS in Computer Science, Computational Biology, Bioinformatics, or related field

2+ years of experience in prompt engineering or NLP applications

Expert proficiency in Python with focus on LLM frameworks

Deep understanding of prompt engineering techniques and best practices

Experience with multiple LLM platforms (GPT-4, Claude, Gemma, etc.)

Strong background in structured output generation (JSON, XML, CSV)

Mastery of advanced prompting techniques (zero-shot, few-shot, chain-of-thought)

Experience with prompt optimization and automated evaluation

Knowledge of sampling parameters (temperature, top-k, top-p) tuning

Understanding of context window management and token optimization

Proven ability to reduce LLM hallucinations through prompt design

Familiarity with biological terminology and genomics concepts

Understanding of scientific reasoning and hypothesis testing

Experience with technical documentation and report generation

Knowledge of clinical communication requirements

Preferred

Experience with biological or medical AI applications

Background in RAG (Retrieval-Augmented Generation) systems

Knowledge of causal reasoning and inference techniques

Familiarity with regulatory requirements for clinical AI

Publications or contributions to prompt engineering research

Experience with multi-modal prompting (text + data)

Understanding of differential expression analysis workflows

Benefits

Comprehensive benefits package with equity participation

$3,000 annual budget for AI conferences and training

Access to cutting-edge AI models and computational resources

Remote-first culture with flexible working arrangements

Company

Ayass BioScience, LLC

Ayass BioScience, LLC was established in 2014 with a mission to provide early disease detection, develop a disease monitoring system, and ultimately achieve better patient outcome by implementing Molecular Modern Medicine to daily clinical practice.

Founded in 2014

Frisco, Texas, USA

11-50 employees